Siddharth Garg

Siddharth Garg

New York University

H-index: 37

North America-United States

About Siddharth Garg

Siddharth Garg, With an exceptional h-index of 37 and a recent h-index of 30 (since 2020), a distinguished researcher at New York University, specializes in the field of ML, computer security, computer hardware.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models

Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations

Neural Compress-and-Forward for the Relay Channel

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization

On the (In) feasibility of ML Backdoor Detection as an Hypothesis Testing Problem

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Siddharth Garg Information

University

Position

___

Citations(all)

7402

Citations(since 2020)

5857

Cited By

3162

hIndex(all)

37

hIndex(since 2020)

30

i10Index(all)

93

i10Index(since 2020)

67

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Siddharth Garg Skills & Research Interests

ML

computer security

computer hardware

Top articles of Siddharth Garg

Title

Journal

Author(s)

Publication Date

Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models

Advances in Neural Information Processing Systems

Aaron Havens

Alexandre Araujo

Siddharth Garg

Farshad Khorrami

Bin Hu

2024/2/13

Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

arXiv preprint arXiv:2402.03289

Matthew DeLorenzo

Animesh Basak Chowdhury

Vasudev Gohil

Shailja Thakur

Ramesh Karri

...

2024/2/5

Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM

arXiv preprint arXiv:2404.16137

Fabrizio Carpi

Soheil Rostami

Joonyoung Cho

Siddharth Garg

Elza Erkip

...

2024/4/24

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations

arXiv preprint arXiv:2401.14033

Patricia Pauli

Aaron Havens

Alexandre Araujo

Siddharth Garg

Farshad Khorrami

...

2024/1/25

Neural Compress-and-Forward for the Relay Channel

arXiv preprint arXiv:2404.14594

Ezgi Ozyilkan

Fabrizio Carpi

Siddharth Garg

Elza Erkip

2024/4/22

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization

arXiv preprint arXiv:2401.12205

Animesh Basak Chowdhury

Marco Romanelli

Benjamin Tan

Ramesh Karri

Siddharth Garg

2024/1/22

On the (In) feasibility of ML Backdoor Detection as an Hypothesis Testing Problem

Georg Pichler

Marco Romanelli

Divya Prakash Manivannan

Prashanth Krishnamurthy

Siddharth Garg

2024/4/18

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

arXiv preprint arXiv:2402.11814

Minghao Shao

Boyuan Chen

Sofija Jancheska

Brendan Dolan-Gavitt

Siddharth Garg

...

2024/2/19

Privacy-Preserving Collaborative Learning through Feature Extraction

IEEE Transactions on Dependable and Secure Computing

Alireza Sarmadi

Hao Fu

Prashanth Krishnamurthy

Siddharth Garg

Farshad Khorrami

2023/3/31

Lost at c: A user study on the security implications of large language model code assistants

Gustavo Sandoval

Hammond Pearce

Teo Nys

Ramesh Karri

Siddharth Garg

...

2023

Precoding-oriented Massive MIMO CSI Feedback Design

Fabrizio Carpi

Sivarama Venkatesan

Jinfeng Du

Harish Viswanathan

Siddharth Garg

...

2023/5/28

R-LPIPS: An adversarially robust perceptual similarity metric

arXiv preprint arXiv:2307.15157

Sara Ghazanfari

Siddharth Garg

Prashanth Krishnamurthy

Farshad Khorrami

Alexandre Araujo

2023/7/27

PriViT: Vision Transformers for Fast Private Inference

arXiv preprint arXiv:2310.04604

Naren Dhyani

Jianqiao Mo

Minsu Cho

Ameya Joshi

Siddharth Garg

...

2023/10/6

On the Limitation of Backdoor Detection Methods

Georg Pichler

Marco Romanelli

Divya Prakash Manivannan

Prashanth Krishnamurthy

Farshad Khorrami

...

2023/10/28

Fairness via in-processing in the over-parameterized regime: A cautionary tale with MinDiff loss

Transactions on Machine Learning Research

Akshaj Kumar Veldanda

Ivan Brugere

Jiahao Chen

Sanghamitra Dutta

Alan Mishler

...

2023/2/9

Invictus: Optimizing boolean logic circuit synthesis via synergistic learning and search

arXiv preprint arXiv:2305.13164

Animesh Basak Chowdhury

Marco Romanelli

Benjamin Tan

Ramesh Karri

Siddharth Garg

2023/5/22

Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection

IEEE Transactions on Information Forensics and Security

Hao Fu

Prashanth Krishnamurthy

Siddharth Garg

Farshad Khorrami

2023/7/19

Studying the Online Deepfake Community

Journal of Online Trust and Safety

Brian Timmerman

Pulak Mehta

Progga Deb

Kevin Gallagher

Brendan Dolan-Gavitt

...

2023/9/21

Towards the Imagenets of ML4EDA

ICCAD 2023 (arXiv preprint arXiv:2310.10560)

Animesh Basak Chowdhury

Shailja Thakur

Hammond Pearce

Ramesh Karri

Siddharth Garg

2023/10/16

A Minimax Approach Against Multi-Armed Adversarial Attacks Detection

arXiv preprint arXiv:2302.02216

Federica Granese

Marco Romanelli

Siddharth Garg

Pablo Piantanida

2023/2/4

See List of Professors in Siddharth Garg University(New York University)

Co-Authors

H-index: 69
Farinaz Koushanfar

Farinaz Koushanfar

University of California, San Diego

H-index: 64
Ramesh Karri  కర్రి రమేష్

Ramesh Karri కర్రి రమేష్

New York University

H-index: 64
Jörg Henkel

Jörg Henkel

Karlsruher Institut für Technologie

H-index: 55
Elza Erkip

Elza Erkip

New York University

H-index: 52
Muhammad Shafique

Muhammad Shafique

New York University

H-index: 48
Tulika Mitra

Tulika Mitra

National University of Singapore

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