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2020 – today
- 2025
[j53]Atul Kumar, Siddharth Garg, Soumya Dutta
:
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data. IEEE Trans. Vis. Comput. Graph. 31(1): 1343-1353 (2025)- 2024
- [j52]Kang Liu, Di Wu, Yangyu Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg:
Manipulation Attacks on Learned Image Compression. IEEE Trans. Artif. Intell. 5(6): 3083-3097 (2024) - [j51]Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Privacy-Preserving Collaborative Learning Through Feature Extraction. IEEE Trans. Dependable Secur. Comput. 21(1): 486-498 (2024) - [j50]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. Trans. Mach. Learn. Res. 2024 (2024) - [j49]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Split Computing With Scalable Feature Compression for Visual Analytics on the Edge. IEEE Trans. Multim. 26: 10121-10133 (2024) - [j48]Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg:
VeriGen: A Large Language Model for Verilog Code Generation. ACM Trans. Design Autom. Electr. Syst. 29(3): 46:1-46:31 (2024) - [c109]Alhad Daftardar, Brandon Reagen, Siddharth Garg:
SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs. PACT 2024: 271-283 - [c108]Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. AISTATS 2024: 4051-4059 - [c107]Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. ICLR 2024 - [c106]Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
LipSim: A Provably Robust Perceptual Similarity Metric. ICLR 2024 - [c105]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR 2024 - [c104]Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg:
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. MLCAD 2024: 26:1-26:11 - [c103]Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Neural Compress-and-Forward for the Relay Channel. SPAWC 2024: 366-370 - [c102]Fabrizio Carpi, Soheil Rostami, Joonyoung Cho, Siddharth Garg, Elza Erkip, Charlie Jianzhong Zhang:
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM. SPAWC 2024: 406-410 - [e2]Hussam Amrouch, Jiang Hu, Siddharth Garg, Yibo Lin:
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, MLCAD 2024, Salt Lake City, UT, USA, September 9-11, 2024. ACM 2024, ISBN 979-8-4007-0699-8 [contents] - [i99]Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. CoRR abs/2401.12205 (2024) - [i98]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. CoRR abs/2401.14033 (2024) - [i97]Matthew DeLorenzo, Animesh Basak Chowdhury, Vasudev Gohil, Shailja Thakur, Ramesh Karri, Siddharth Garg, Jeyavijayan Rajendran:
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS. CoRR abs/2402.03289 (2024) - [i96]Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique:
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. CoRR abs/2402.11814 (2024) - [i95]Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. CoRR abs/2402.16926 (2024) - [i94]Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Neural Compress-and-Forward for the Relay Channel. CoRR abs/2404.14594 (2024) - [i93]Fabrizio Carpi, Soheil Rostami, Joonyoung Cho, Siddharth Garg, Elza Erkip, Charlie Jianzhong Zhang:
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM. CoRR abs/2404.16137 (2024) - [i92]Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
Evaluating LLMs for Hardware Design and Test. CoRR abs/2405.02326 (2024) - [i91]Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Learning-Based Compress-and-Forward Schemes for the Relay Channel. CoRR abs/2405.09534 (2024) - [i90]Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg:
Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation. CoRR abs/2405.15842 (2024) - [i89]Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique:
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. CoRR abs/2406.05590 (2024) - [i88]Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap? CoRR abs/2406.09233 (2024) - [i87]Jitendra Bhandari, Johann Knechtel, Ramesh Narayanaswamy, Siddharth Garg, Ramesh Karri:
LLM-Aided Testbench Generation and Bug Detection for Finite-State Machines. CoRR abs/2406.17132 (2024) - [i86]Jitendra Bhandari, Animesh Basak Chowdhury, Mohammed Nabeel, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri, Johann Knechtel:
ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search. CoRR abs/2406.19549 (2024) - [i85]Atul Kumar, Siddharth Garg, Soumya Dutta:
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data. CoRR abs/2407.16119 (2024) - [i84]Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg:
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. CoRR abs/2407.18276 (2024) - [i83]Alhad Daftardar, Brandon Reagen, Siddharth Garg:
SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs. CoRR abs/2408.05890 (2024) - [i82]Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
EMMA: Efficient Visual Alignment in Multi-Modal LLMs. CoRR abs/2410.02080 (2024) - [i81]Jason Blocklove, Shailja Thakur, Benjamin Tan, Hammond Pearce, Siddharth Garg, Ramesh Karri:
Can EDA Tool Feedback Improve Verilog Generation by LLMs? CoRR abs/2411.11856 (2024) - [i80]Jitendra Bhandari, Vineet Bhat, Yuheng He, Siddharth Garg, Hamed Rahmani, Ramesh Karri:
Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI. CoRR abs/2411.14299 (2024) - [i79]Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap. CoRR abs/2412.00214 (2024) - [i78]Patrick Yubeaton, Jianqiao Mo, Karthik Garimella, Nandan Kumar Jha, Brandon Reagen, Chinmay Hegde, Siddharth Garg:
TruncFormer: Private LLM Inference Using Only Truncations. CoRR abs/2412.01042 (2024) - [i77]Weihua Xiao, Venkata Sai Charan Putrevu, Raghu Vamshi Hemadri, Siddharth Garg, Ramesh Karri:
PrefixLLM: LLM-aided Prefix Circuit Design. CoRR abs/2412.02594 (2024) - [i76]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Out-of-Distribution Detection with Overlap Index. CoRR abs/2412.06168 (2024) - [i75]Sara Ghazanfari, Siddharth Garg, Nicolas Flammarion, Prashanth Krishnamurthy, Farshad Khorrami, Francesco Croce:
Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics. CoRR abs/2412.10594 (2024) - 2023
- [j47]Christian Pilato, Luca Collini, Luca Cassano, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
Optimizing the Use of Behavioral Locking for High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 462-472 (2023) - [j46]Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg:
Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2580-2590 (2023) - [j45]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection. IEEE Trans. Inf. Forensics Secur. 18: 4668-4680 (2023) - [j44]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. Trans. Mach. Learn. Res. 2023 (2023) - [c101]Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen:
Characterizing and Optimizing End-to-End Systems for Private Inference. ASPLOS (3) 2023: 89-104 - [c100]Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu:
Special Session: Machine Learning for Embedded System Design. CODES+ISSS 2023: 28-37 - [c99]Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan:
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. DAC 2023: 1-6 - [c98]Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. DATE 2023: 1-6 - [c97]Fabrizio Carpi, Sivarama Venkatesan, Jinfeng Du, Harish Viswanathan, Siddharth Garg, Elza Erkip:
Precoding-oriented Massive MIMO CSI Feedback Design. ICC 2023: 4973-4978 - [c96]Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Invited Paper: Towards the Imagenets of ML4EDA. ICCAD 2023: 1-7 - [c95]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti:
Path Planning Under Uncertainty to Localize mmWave Sources. ICRA 2023: 3461-3467 - [c94]Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. MLCAD 2023: 1-6 - [c93]Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan, Siddharth Garg:
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. MLCAD 2023: 1-6 - [c92]Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu:
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS 2023 - [c91]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou:
Towards better certified segmentation via diffusion models. UAI 2023: 1185-1195 - [c90]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt:
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants. USENIX Security Symposium 2023: 2205-2222 - [c89]Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can Deepfakes be created on a whim? WWW (Companion Volume) 2023: 1324-1334 - [d2]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt:
Lost at C: Data from the Security-focused User Study. Version 0.2. Zenodo, 2023 [all versions]
- [i74]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR abs/2302.01385 (2023) - [i73]Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida:
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR abs/2302.02216 (2023) - [i72]Fabrizio Carpi, Sivarama Venkatesan, Jinfeng Du, Harish Viswanathan, Siddharth Garg, Elza Erkip:
Precoding-oriented Massive MIMO CSI Feedback Design. CoRR abs/2302.11526 (2023) - [i71]Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan:
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. CoRR abs/2303.03372 (2023) - [i70]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti:
Path Planning Under Uncertainty to Localize mmWave Sources. CoRR abs/2303.03739 (2023) - [i69]Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can deepfakes be created by novice users? CoRR abs/2304.14576 (2023) - [i68]Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search. CoRR abs/2305.13164 (2023) - [i67]Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. CoRR abs/2305.13243 (2023) - [i66]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou:
Towards Better Certified Segmentation via Diffusion Models. CoRR abs/2306.09949 (2023) - [i65]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection. CoRR abs/2307.05422 (2023) - [i64]Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Alexandre Araujo:
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric. CoRR abs/2307.15157 (2023) - [i63]Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg:
VeriGen: A Large Language Model for Verilog Code Generation. CoRR abs/2308.00708 (2023) - [i62]Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
PriViT: Vision Transformers for Fast Private Inference. CoRR abs/2310.04604 (2023) - [i61]Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT. CoRR abs/2310.05135 (2023) - [i60]Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Towards the Imagenets of ML4EDA. CoRR abs/2310.10560 (2023) - [i59]Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
LipSim: A Provably Robust Perceptual Similarity Metric. CoRR abs/2310.18274 (2023) - [i58]Shailja Thakur, Jason Blocklove, Hammond Pearce, Benjamin Tan, Siddharth Garg, Ramesh Karri:
AutoChip: Automating HDL Generation Using LLM Feedback. CoRR abs/2311.04887 (2023) - 2022
- [j43]Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation. IEEE Access 10: 5545-5558 (2022) - [j42]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20(5): 22-34 (2022) - [j41]Yier Jin, Tsung-Yi Ho, Stjepan Picek, Siddharth Garg:
Guest Editorial: Trustworthy AI. ACM J. Emerg. Technol. Comput. Syst. 18(3): 55:1-55:3 (2022) - [j40]Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan:
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. IEEE Open J. Commun. Soc. 3: 493-507 (2022) - [j39]Animesh Basak Chowdhury, Benjamin Tan, Siddharth Garg, Ramesh Karri:
Robust Deep Learning for IC Test Problems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 183-195 (2022) - [j38]Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Overriding Autonomous Driving Systems Using Adaptive Adversarial Billboards. IEEE Trans. Intell. Transp. Syst. 23(8): 11386-11396 (2022) - [c88]Mohamed El Massad, Nahid Juma, Jonathan Shahen, Mariana Raykova, Siddharth Garg, Mahesh Tripunitara:
Locked Circuit Indistinguishability: A Notion of Security for Logic Locking. CSF 2022: 455-470 - [c87]Christian Pilato, Donatella Sciuto, Benjamin Tan, Siddharth Garg, Ramesh Karri:
High-level design methods for hardware security: is it the right choice? invited. DAC 2022: 1375-1378 - [c86]Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. ICML 2022: 3947-3961 - [c85]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Feature Compression for Rate Constrained Object Detection on the Edge. MIPR 2022: 1-6 - [p1]Christian Pilato, Donatella Sciuto, Francesco Regazzoni, Siddharth Garg, Ramesh Karri:
Protecting Hardware IP Cores During High-Level Synthesis. Behavioral Synthesis for Hardware Security 2022: 95-115 - [d1]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt:
Lost at C: Data from the Security-focused User Study. Version 0.1. Zenodo, 2022 [all versions] - [i57]Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. CoRR abs/2202.02340 (2022) - [i56]Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg:
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis. CoRR abs/2204.02368 (2022) - [i55]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Feature Compression for Rate Constrained Object Detection on the Edge. CoRR abs/2204.07314 (2022) - [i54]Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg:
Denial-of-Service Attacks on Learned Image Compression. CoRR abs/2205.13253 (2022) - [i53]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR abs/2206.14853 (2022) - [i52]Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen:
Characterizing and Optimizing End-to-End Systems for Private Inference. CoRR abs/2207.07177 (2022) - [i51]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Security Implications of Large Language Model Code Assistants: A User Study. CoRR abs/2208.09727 (2022) - [i50]Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Privacy-Preserving Collaborative Learning through Feature Extraction. CoRR abs/2212.06322 (2022) - [i49]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
An Upper Bound for the Distribution Overlap Index and Its Applications. CoRR abs/2212.08701 (2022) - [i48]Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. CoRR abs/2212.11140 (2022) - 2021
- [j37]Shivam Bhasin, Siddharth Garg, Francesco Regazzoni:
Special Section on Attacking and Protecting Artificial Intelligence. CAAI Trans. Intell. Technol. 6(1): 1-2 (2021) - [j36]Siddharth Garg, Daniel E. Holcomb, Jeyavijayan (JV) Rajendran, Ahmad-Reza Sadeghi:
Guest Editors' Introduction: Competing to Secure SoCs. IEEE Des. Test 38(1): 5-6 (2021) - [j35]Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4: 780843 (2021) - [j34]Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Correlated Graph Matching. IEEE J. Sel. Areas Inf. Theory 2(1): 338-351 (2021) - [j33]Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1244-1257 (2021) - [j32]Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri:
Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2077-2089 (2021) - [j31]Christian Pilato, Animesh Basak Chowdhury, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
ASSURE: RTL Locking Against an Untrusted Foundry. IEEE Trans. Very Large Scale Integr. Syst. 29(7): 1306-1318 (2021) - [c84]Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. AAAI 2021: 14849-14856 - [c83]Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young:
Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC 2021: 885-891 - [c82]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Catching BadNets in the Wild. AISec@CCS 2021: 49-60 - [c81]Nimisha Limaye, Animesh Basak Chowdhury, Christian Pilato, Mohammed Thari Nabeel, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri:
Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks. DAC 2021: 91-96 - [c80]Benjamin Tan, Siddharth Garg, Ramesh Karri, Yuntao Liu, Michael Zuzak, Abhisek Chakraborty, Ankur Srivastava, Omid Aramoon, Qian Xu, Gang Qu, Adam A. Porter, Jeno Szep, Warren Savage:
Invited: Independent Verification and Validation of Security-Aware EDA Tools and IP. DAC 2021: 1299-1302 - [c79]Shubham Rai, Siddharth Garg, Christian Pilato, Vladimir Herdt, Elmira Moussavi, Dominik Sisejkovic, Ramesh Karri, Rolf Drechsler, Farhad Merchant, Akash Kumar:
Vertical IP Protection of the Next-Generation Devices: Quo Vadis? DATE 2021: 1905-1914 - [c78]Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
DeepReDuce: ReLU Reduction for Fast Private Inference. ICML 2021: 4839-4849 - [c77]Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg, Elza Erkip:
On Graph Matching Using Generalized Seed Side-Information. ISIT 2021: 2726-2731 - [c76]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV 2021: 157-164 - [c75]Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg:
Circa: Stochastic ReLUs for Private Deep Learning. NeurIPS 2021: 2241-2252 - [c74]