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:

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

Neural Compress-and-Forward for the Relay Channel

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

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models

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

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization

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

Google Scholar

Siddharth Garg Skills & Research Interests

ML

computer security

computer hardware

Top articles of Siddharth Garg

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

arXiv preprint arXiv:2404.16137

2024/4/24

Neural Compress-and-Forward for the Relay Channel

arXiv preprint arXiv:2404.14594

2024/4/22

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

2024/4/18

Prashanth Krishnamurthy
Prashanth Krishnamurthy

H-Index: 16

Siddharth Garg
Siddharth Garg

H-Index: 24

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

arXiv preprint arXiv:2402.11814

2024/2/19

Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models

Advances in Neural Information Processing Systems

2024/2/13

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

arXiv preprint arXiv:2402.03289

2024/2/5

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations

arXiv preprint arXiv:2401.14033

2024/1/25

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization

arXiv preprint arXiv:2401.12205

2024/1/22

Towards better certified segmentation via diffusion models

arXiv preprint arXiv:2306.09949

2023/6/16

Siddharth Garg
Siddharth Garg

H-Index: 24

Farshad Khorrami
Farshad Khorrami

H-Index: 21

Path Planning Under Uncertainty to Localize mmWave Sources

2023/5/29

Precoding-oriented Massive MIMO CSI Feedback Design

2023/5/28

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

arXiv preprint arXiv:2305.13164

2023/5/22

Scalable Feature Compression for Edge-Assisted Object Detection Over Time-Varying Networks

2023/5/12

Benchmarking large language models for automated verilog rtl code generation

2023/4/17

Privacy-Preserving Collaborative Learning through Feature Extraction

IEEE Transactions on Dependable and Secure Computing

2023/3/31

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

Transactions on Machine Learning Research

2023/2/9

A Minimax Approach Against Multi-Armed Adversarial Attacks Detection

arXiv preprint arXiv:2302.02216

2023/2/4

Siddharth Garg
Siddharth Garg

H-Index: 24

Hyper-parameter tuning for fair classification without sensitive attribute access

arXiv preprint arXiv:2302.01385

2023/2/2

Variation in Tensile Strength of 3D Printed PLA Parts by Varying Infill Density and Infill Pattern

Saudi J Eng Technol

2023

Siddharth Garg
Siddharth Garg

H-Index: 24

Rahul Srivastava
Rahul Srivastava

H-Index: 17

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

Co-Authors

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