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Siddharth Garg

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A Minimax Approach Against Multi-Armed Adversarial Attacks Detection

Feb 04, 2023
Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida

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Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access

Feb 02, 2023
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

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An Upper Bound for the Distribution Overlap Index and Its Applications

Dec 16, 2022
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

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Benchmarking Large Language Models for Automated Verilog RTL Code Generation

Dec 13, 2022
Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

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Privacy-Preserving Collaborative Learning through Feature Extraction

Dec 13, 2022
Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

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Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale

Jun 29, 2022
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

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Denial-of-Service Attacks on Learned Image Compression

May 26, 2022
Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg

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Feature Compression for Rate Constrained Object Detection on the Edge

Apr 15, 2022
Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang

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Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis

Apr 05, 2022
Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg

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Selective Network Linearization for Efficient Private Inference

Feb 04, 2022
Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde

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