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Publication search results
found 30 matches
- 2024
- Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. CoRR abs/2401.12205 (2024) - 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) - 2023
- Animesh Basak Chowdhury, Anushree Mahapatra, Yang Liu, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri:
A Golden-Free Approach to Detect Trojans in COTS Multi-PCB Systems. IEEE Micro 43(5): 64-76 (2023) - 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) - Animesh Basak Chowdhury, Anushree Mahapatra, Deepraj Soni, Ramesh Karri:
Fuzzing+Hardware Performance Counters-Based Detection of Algorithm Subversion Attacks on Postquantum Signature Schemes. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 384-396 (2023) - 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 - Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Invited Paper: Towards the Imagenets of ML4EDA. ICCAD 2023: 1-7 - Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan, Siddharth Garg:
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. MLCAD 2023: 1-6 - 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) - 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) - Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Towards the Imagenets of ML4EDA. CoRR abs/2310.10560 (2023) - 2022
- 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) - Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha, Susmita Sur-Kolay:
GreyConE: Greybox Fuzzing + Concolic Execution Guided Test Generation for High Level Designs. ITC 2022: 494-498 - Animesh Basak Chowdhury, Anushree Mahapatra, Deepraj Soni, Ramesh Karri:
Fuzzing+Hardware Performance Counters-Based Detection of Algorithm Subversion Attacks on Post-Quantum Signature Schemes. CoRR abs/2203.06782 (2022) - 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) - Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha, Susmita Sur-Kolay:
Test Generation for SystemC designs by interlaced Greybox Fuzzing and Concolic Execution. CoRR abs/2205.04047 (2022) - 2021
- Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4: 780843 (2021) - 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) - 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 - Hussam Amrouch, Animesh Basak Chowdhury, Wentian Jin, Ramesh Karri, Farshad Khorrami, Prashanth Krishnamurthy, Ilia Polian, Victor M. van Santen, Benjamin Tan, Sheldon X.-D. Tan:
Special Session: Machine Learning for Semiconductor Test and Reliability. VTS 2021: 1-11 - Animesh Basak Chowdhury, Benjamin Tan, Ramesh Karri, Siddharth Garg:
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis. CoRR abs/2110.11292 (2021) - Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha, Susmita Sur-Kolay:
FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs. CoRR abs/2111.00805 (2021) - 2020
- Prashanth Krishnamurthy, Animesh Basak Chowdhury, Benjamin Tan, Farshad Khorrami, Ramesh Karri:
Explaining and Interpreting Machine Learning CAD Decisions: An IC Testing Case Study. MLCAD 2020: 129-134 - Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. CoRR abs/2008.12338 (2020) - Christian Pilato, Animesh Basak Chowdhury, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
ASSURE: RTL Locking Against an Untrusted Foundry. CoRR abs/2010.05344 (2020) - 2019
- Manobendra Nath Mondal, Animesh Basak Chowdhury, Manjari Pradhan, Susmita Sur-Kolay, Bhargab B. Bhattacharya:
Fault Coverage of a Test Set on Structure-Preserving Siblings of a Circuit-Under-Test. ATS 2019: 25-30 - Animesh Basak Chowdhury, Raveendra Kumar Medicherla, R. Venkatesh:
VeriFuzz: Program Aware Fuzzing - (Competition Contribution). TACAS (3) 2019: 244-249 - Animesh Basak Chowdhury:
RERS-Fuzz : Combining Greybox Fuzzing with Interval Analysis for error reachability in reactive softwares. CoRR abs/1907.11409 (2019) - 2018
- Animesh Basak Chowdhury, Ansuman Banerjee, Bhargab B. Bhattacharya:
ATPG Binning and SAT-Based Approach to Hardware Trojan Detection for Safety-Critical Systems. NSS 2018: 391-410 - Priyanka Darke, Sumanth Prabhu, Bharti Chimdyalwar, Avriti Chauhan, Shrawan Kumar, Animesh Basak Chowdhury, R. Venkatesh, Advaita Datar, Raveendra Kumar Medicherla:
VeriAbs: Verification by Abstraction and Test Generation - (Competition Contribution). TACAS (2) 2018: 457-462
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