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ORCIDMuhammad Shafique 0001
Person information
- affiliation: New York University Abu Dhabi, UAE
- affiliation (former): TU Wien, Vienna, Austria
- affiliation (former): Karlsruhe Institute of Technology, Germany
Other persons with the same name
- Muhammad Shafique — disambiguation page
- Muhammad Shafique 0002 — King Fahd University of Petroleum and Minerals, Information and Computer Science Department
- Muhammad Shafique 0003 — University of Waterloo, Canada
- Muhammad Shafique 0004 — Carleton University, Ottawa, Canada
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2020 – today
- 2023
[j101]Sayandip De
, Muhammad Shafique, Henk Corporaal:
Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1133-1146 (2023)- [c232]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. ICARA 2023: 197-201 - [c231]Mahum Naseer, Muhammad Shafique:
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. ICST 2023: 474-477 - [i106]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR abs/2302.12538 (2023) - [i105]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR abs/2303.01338 (2023) - [i104]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR abs/2303.01351 (2023) - [i103]Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani:
AdvART: Adversarial Art for Camouflaged Object Detection Attacks. CoRR abs/2303.01734 (2023) - [i102]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR abs/2303.01819 (2023) - [i101]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. CoRR abs/2303.01826 (2023) - [i100]Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique:
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR abs/2303.02495 (2023) - [i99]Amin Kargar-Barzi, Ebrahim Farahmand, Ali Mahani, Muhammad Shafique:
CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. CoRR abs/2303.03699 (2023) - [i98]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR abs/2303.04734 (2023) - [i97]Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya, Florian Kriebel, Andreas Steininger, Muhammad Shafique:
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. CoRR abs/2303.06486 (2023) - [i96]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing. CoRR abs/2303.06746 (2023) - [i95]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR abs/2303.07852 (2023) - [i94]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR abs/2303.07853 (2023) - [i93]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR abs/2303.07892 (2023) - [i92]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR abs/2303.07896 (2023) - [i91]Erik Ostrowski, Muhammad Shafique:
AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels. CoRR abs/2303.07898 (2023) - [i90]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR abs/2303.08035 (2023) - [i89]Wenqing Li, Yue Wang, Muhammad Shafique, Saif Eddin Jabari:
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis. CoRR abs/2303.13992 (2023) - [i88]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR abs/2303.14009 (2023) - [i87]Mahum Naseer, Muhammad Shafique:
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. CoRR abs/2303.16589 (2023) - [i86]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. CoRR abs/2304.02510 (2023) - [i85]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR abs/2304.03973 (2023) - [i84]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. CoRR abs/2304.03986 (2023) - [i83]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR abs/2304.04039 (2023) - [i82]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR abs/2304.04041 (2023) - [i81]Muhammad Abdullah Hanif, Muhammad Shafique:
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR abs/2304.12949 (2023) - [i80]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR abs/2305.11618 (2023) - [i79]Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR abs/2305.12590 (2023) - [i78]Muhammad Abdullah Hanif, Muhammad Shafique:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR abs/2305.12595 (2023) - 2022
- [j100]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. IEEE Access 10: 108997-109007 (2022) - [j99]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access 10: 109043-109055 (2022) - [j98]Iram Tariq Bhatti, Mahum Naseer, Muhammad Shafique, Osman Hasan:
A formal approach to identifying the impact of noise on neural networks. Commun. ACM 65(11): 70-73 (2022) - [j97]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. J. Intell. Robotic Syst. 105(1): 9 (2022) - [j96]Muhammad Abdullah Hanif, Muhammad Shafique:
A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocess. Microsystems 88: 103609 (2022) - [j95]Salim Ullah, Semeen Rehman, Muhammad Shafique, Akash Kumar:
High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 211-224 (2022) - [j94]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Awais Mehmood Kamboh, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1167-1180 (2022) - [j93]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1602-1606 (2022) - [j92]Muhammad Shafique, Theocharis Theocharides, Hai Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 1. ACM Trans. Embed. Comput. Syst. 21(5): 47:1-47:5 (2022) - [j91]Muhammad Shafique, Theocharis Theocharides, Hai (Helen) Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. ACM Trans. Embed. Comput. Syst. 21(6): 67:1-67:5 (2022) - [j90]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. 10(3): 1575-1592 (2022) - [j89]Mohsen Ansari, Sepideh Safari, Sina Yari-Karin, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems. IEEE Trans. Emerg. Top. Comput. 10(4): 1883-1897 (2022) - [c230]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC 2022: 151-156 - [c229]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. DATE 2022: 694-699 - [c228]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security. ICCAD 2022: 4:1-4:9 - [c227]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN 2022: 1-10 - [c226]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN 2022: 1-8 - [c225]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. IJCNN 2022: 1-9 - [c224]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. IJCNN 2022: 1-8 - [c223]Muhammad Shafique:
EDAML 2022 Invited Speaker 8: Machine Learning for Cross-Layer Reliability and Security. IPDPS Workshops 2022: 1189 - [c222]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. IROS 2022: 79-86 - [c221]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. IROS 2022: 5155-5162 - [c220]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. ISLPED 2022: 27:1-27:6 - [c219]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS 2022: 1-14 - [i77]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR abs/2203.05523 (2022) - [i76]Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari:
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. CoRR abs/2203.09289 (2022) - [i75]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR abs/2204.09514 (2022) - [i74]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. CoRR abs/2205.12295 (2022) - [i73]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. CoRR abs/2205.13807 (2022) - [i72]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR abs/2206.00402 (2022) - [i71]Christopher J. Holder, Muhammad Shafique:
On Efficient Real-Time Semantic Segmentation: A Survey. CoRR abs/2206.08605 (2022) - [i70]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2206.08656 (2022) - [i69]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. CoRR abs/2206.10200 (2022) - [i68]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. CoRR abs/2208.00328 (2022) - [i67]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR abs/2208.00331 (2022) - [i66]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. CoRR abs/2208.02253 (2022) - [i65]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security (Invited Paper). CoRR abs/2208.08554 (2022) - [i64]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. CoRR abs/2210.05276 (2022) - [i63]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. CoRR abs/2210.06888 (2022) - [i62]Christopher J. Holder, Muhammad Shafique:
Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles. CoRR abs/2211.04718 (2022) - [i61]Christopher J. Holder, Majid Khonji, Jorge Dias, Muhammad Shafique:
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning. CoRR abs/2211.16228 (2022) - [i60]Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique:
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. CoRR abs/2212.10289 (2022) - [i59]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. CoRR abs/2212.12620 (2022) - 2021
- [j88]Dilshad Sabir, Muhammad Abdullah Hanif, Ali Hassan, Saad Rehman, Muhammad Shafique:
TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access 9: 53647-53668 (2021) - [j87]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. IEEE Internet Things J. 8(17): 13251-13265 (2021) - [j86]Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal, Smruti Ranjan Sarangi, Muhammad Shafique:
A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. 118: 102227 (2021) - [j85]Bagh Ali, Sajjad Hussain, Muhammad Shafique, Danial Habib, Ghulam Rasool:
Analyzing the interaction of hybrid base liquid C2H6O2-H2O with hybrid nano-material Ag-MoS2 for unsteady rotational flow referred to an elongated surface using modified Buongiorno's model: FEM simulation. Math. Comput. Simul. 190: 57-74 (2021) - [j84]Maryam Idrees, Mohammed Manzar Maqbool, Muhammad Khurram Bhatti, Muhammad Mahboob Ur Rahman, Rehan Hafiz, Muhammad Shafique:
An approximate-computing empowered green 6G downlink. Phys. Commun. 49: 101444 (2021) - [j83]Marcelo Brandalero, Luigi Carro, Antonio Carlos Schneider Beck, Muhammad Shafique:
Multi-Target Adaptive Reconfigurable Acceleration for Low-Power IoT Processing. IEEE Trans. Computers 70(1): 83-98 (2021) - [j82]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
Longevity Framework: Leveraging Online Integrated Aging-Aware Hierarchical Mapping and VF-Selection for Lifetime Reliability Optimization in Manycore Processors. IEEE Trans. Computers 70(7): 1106-1119 (2021) - [j81]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1768-1781 (2021) - [j80]Jorge Castro-Godínez, Humberto Barrantes-García, Muhammad Shafique, Jörg Henkel:
AxLS: A Framework for Approximate Logic Synthesis Based on Netlist Transformations. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 2845-2849 (2021) - [j79]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 702-715 (2021) - [j78]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 716-729 (2021) - [c218]Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique:
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS 2021: 11-20 - [c217]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC 2021: 379-384 - [c216]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. DAC 2021: 1057-1062 - [c215]Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann:
TinyML: Current Progress, Research Challenges, and Future Roadmap. DAC 2021: 1303-1306 - [c214]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE 2021: 108-113 - [c213]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. DATE 2021: 729-734 - [c212]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. DATE 2021: 774-779 - [c211]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE 2021: 780-785 - [c210]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. DSD 2021: 434-441 - [c209]Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels:
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c208]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c207]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD 2021: 1-9 - [c206]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD 2021: 1-9 - [c205]Christopher J. Holder, Muhammad Shafique:
Efficient Uncertainty Estimation in Semantic Segmentation via Distillation. ICCVW 2021: 3080-3087 - [c204]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. IJCNN 2021: 1-9 - [c203]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. IJCNN 2021: 1-8 - [c202]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. IJCNN 2021: 1-10 - [c201]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. IROS 2021: 6315-6321 - [c200]Jeferson González-Gómez, Steven Ávila-Ardón, Jonathan Rojas-González, Andres Stephen-Cantillano, Jorge Castro-Godínez, Carlos Salazar-García, Muhammad Shafique, Jörg Henkel:
TailoredCore: Generating Application-Specific RISC-V-based Cores. LASCAS 2021: 1-4 - [e3]Muhammad Shafique, Andreas Steininger, Lukás Sekanina, Milos Krstic, Goran Stojanovic, Vojtech Mrazek:
24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems, DDECS 2021, Vienna, Austria, April 7-9, 2021. IEEE 2021, ISBN 978-1-6654-3595-6 [contents] - [i58]Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi:
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. CoRR abs/2101.02559 (2021) - [i57]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. CoRR abs/2101.12351 (2021) - [i56]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR abs/2103.00421 (2021) - [i55]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. CoRR abs/2103.00424 (2021) - [i54]Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique:
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR abs/2105.03251 (2021) - [i53]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. CoRR abs/2105.12374 (2021) - [i52]Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique:
High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. CoRR abs/2106.08800 (2021) - [i51]Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique:
Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. CoRR abs/2106.08877 (2021) - [i50]