Siddharth Garg

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 194

Top Venues

CoRR

DAC

DATE

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. ICLR (2024)
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 (2024)
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) (2024)
Luca Collini, Siddharth Garg, Ramesh Karri
C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap? CoRR (2024)
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 (2024)
Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Privacy-Preserving Collaborative Learning Through Feature Extraction. IEEE Trans. Dependable Secur. Comput. 21 (1) (2024)
Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce
Evaluating LLMs for Hardware Design and Test. CoRR (2024)
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 (2024)
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 (2024)
Atul Kumar, Siddharth Garg, Soumya Dutta
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data. CoRR (2024)
Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip
Neural Compress-and-Forward for the Relay Channel. CoRR (2024)
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 (2024)
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) (2024)
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg
LipSim: A Provably Robust Perceptual Similarity Metric. ICLR (2024)
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)
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 (2024)
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. CoRR (2024)
Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip
Learning-Based Compress-and-Forward Schemes for the Relay Channel. CoRR (2024)
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)
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 (2024)
Jitendra Bhandari, Johann Knechtel, Ramesh Narayanaswamy, Siddharth Garg, Ramesh Karri
LLM-Aided Testbench Generation and Bug Detection for Finite-State Machines. CoRR (2024)
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 (2024)
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 (2024)
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)
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)
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)
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg
LipSim: A Provably Robust Perceptual Similarity Metric. CoRR (2023)
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) (2023)
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)
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)
Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR (2023)
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen
Characterizing and Optimizing End-to-End Systems for Private Inference. ASPLOS (3) (2023)
Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan, Siddharth Garg
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. MLCAD (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Towards better certified segmentation via diffusion models. UAI (2023)
Shailja Thakur, Jason Blocklove, Hammond Pearce, Benjamin Tan, Siddharth Garg, Ramesh Karri
AutoChip: Automating HDL Generation Using LLM Feedback. CoRR (2023)
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 (2023)
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)
Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. MLCAD (2023)
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search. CoRR (2023)
Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg
Towards the Imagenets of ML4EDA. CoRR (2023)
Fabrizio Carpi, Sivarama Venkatesan, Jinfeng Du, Harish Viswanathan, Siddharth Garg, Elza Erkip
Precoding-oriented Massive MIMO CSI Feedback Design. ICC (2023)
Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Alexandre Araujo
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric. CoRR (2023)
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection. CoRR (2023)
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)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Towards Better Certified Segmentation via Diffusion Models. CoRR (2023)
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 (2023)
Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. CoRR (2023)
Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS (2023)
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)
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 (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) (2023)
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 (2023)
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 (2023)
Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg
Invited Paper: Towards the Imagenets of ML4EDA. ICCAD (2023)
Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
PriViT: Vision Transformers for Fast Private Inference. CoRR (2023)
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR (2023)
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 (2023)
Fabrizio Carpi, Sivarama Venkatesan, Jinfeng Du, Harish Viswanathan, Siddharth Garg, Elza Erkip
Precoding-oriented Massive MIMO CSI Feedback Design. CoRR (2023)
Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg
Denial-of-Service Attacks on Learned Image Compression. CoRR (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 (2022)
Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Privacy-Preserving Collaborative Learning through Feature Extraction. CoRR (2022)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20 (5) (2022)
Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang
Feature Compression for Rate Constrained Object Detection on the Edge. CoRR (2022)
Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Overriding Autonomous Driving Systems Using Adaptive Adversarial Billboards. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
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 (2022)
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 (2022)
Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. CoRR (2022)
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
An Upper Bound for the Distribution Overlap Index and Its Applications. CoRR (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) (2022)
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 (2022)
Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. ICML (2022)
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)
Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang
Feature Compression for Rate Constrained Object Detection on the Edge. MIPR (2022)
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)
Yier Jin, Tsung-Yi Ho, Stjepan Picek, Siddharth Garg
Guest Editorial: Trustworthy AI. ACM J. Emerg. Technol. Comput. Syst. 18 (3) (2022)
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 (2022)
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 (2022)
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen
Characterizing and Optimizing End-to-End Systems for Private Inference. CoRR (2022)
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)
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) (2021)
Siddharth Garg, Daniel E. Holcomb, Jeyavijayan (JV) Rajendran, Ahmad-Reza Sadeghi
Guest Editors' Introduction: Competing to Secure SoCs. IEEE Des. Test 38 (1) (2021)
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg
Circa: Stochastic ReLUs for Private Deep Learning. NeurIPS (2021)
Animesh Basak Chowdhury, Benjamin Tan, Ramesh Karri, Siddharth Garg
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis. CoRR (2021)
Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
DeepReDuce: ReLU Reduction for Fast Private Inference. ICML (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)
Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
DeepReDuce: ReLU Reduction for Fast Private Inference. CoRR (2021)
Fabrizio Carpi, Siddharth Garg, Elza Erkip
Single-Shot Compression for Hypothesis Testing. CoRR (2021)
Shivam Bhasin, Siddharth Garg, Francesco Regazzoni
Special Section on Attacking and Protecting Artificial Intelligence. CAAI Trans. Intell. Technol. 6 (1) (2021)
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)
Christian Pilato, Luca Collini, Luca Cassano, Donatella Sciuto, Siddharth Garg, Ramesh Karri
On the Optimization of Behavioral Logic Locking for High-Level Synthesis. CoRR (2021)
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. CoRR (2021)
Kang Liu, Benjamin Tan, Siddharth Garg
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. AAAI (2021)
Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4 (2021)
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) (2021)
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)
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV (2021)
Farhad Shirani, Siddharth Garg, Elza Erkip
A Concentration of Measure Approach to Correlated Graph Matching. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
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 Robotic Navigation with Link State Classification. CoRR (2021)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR (2021)
Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg, Elza Erkip
On Graph Matching Using Generalized Seed Side-Information. CoRR (2021)

Siddharth Garg.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Siddharth Garg