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Siddharth Garg
Siddharth Garg
在 nyu.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
LLM-Aided Testbench Generation and Bug Detection for Finite-State Machines
J Bhandari, J Knechtel, R Narayanaswamy, S Garg, R Karri
arXiv preprint arXiv:2406.17132, 2024
2024
C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap?
L Collini, S Garg, R Karri
arXiv preprint arXiv:2406.09233, 2024
2024
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
M Shao, S Jancheska, M Udeshi, B Dolan-Gavitt, H Xi, K Milner, B Chen, ...
arXiv preprint arXiv:2406.05590, 2024
2024
Split Computing With Scalable Feature Compression for Visual Analytics on the Edge
Z Yuan, S Rawlekar, S Garg, E Erkip, Y Wang
IEEE Transactions on Multimedia, 2024
2024
Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation
B Chen, M Zhu, B Dolan-Gavitt, M Shafique, S Garg
arXiv preprint arXiv:2405.15842, 2024
2024
Learning-Based Compress-and-Forward Schemes for the Relay Channel
E Ozyilkan, F Carpi, S Garg, E Erkip
arXiv preprint arXiv:2405.09534, 2024
2024
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
F Carpi, S Rostami, J Cho, S Garg, E Erkip, CJ Zhang
arXiv preprint arXiv:2404.16137, 2024
2024
Evaluating LLMs for Hardware Design and Test
J Blocklove, S Garg, R Karri, H Pearce
arXiv preprint arXiv:2405.02326, 2024
2024
Neural Compress-and-Forward for the Relay Channel
E Ozyilkan, F Carpi, S Garg, E Erkip
arXiv preprint arXiv:2404.14594, 2024
2024
On the (In) feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
G Pichler, M Romanelli, DP Manivannan, P Krishnamurthy, S Garg
International Conference on Artificial Intelligence and Statistics, 4051-4059, 2024
2024
An empirical evaluation of llms for solving offensive security challenges
M Shao, B Chen, S Jancheska, B Dolan-Gavitt, S Garg, R Karri, ...
arXiv preprint arXiv:2402.11814, 2024
52024
Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models
A Havens, A Araujo, S Garg, F Khorrami, B Hu
Advances in Neural Information Processing Systems 36, 2024
42024
Make every move count: Llm-based high-quality rtl code generation using mcts
M DeLorenzo, AB Chowdhury, V Gohil, S Thakur, R Karri, S Garg, ...
arXiv preprint arXiv:2402.03289, 2024
82024
Novel quadratic constraints for extending lipsdp beyond slope-restricted activations
P Pauli, A Havens, A Araujo, S Garg, F Khorrami, F Allgöwer, B Hu
arXiv preprint arXiv:2401.14033, 2024
42024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
AB Chowdhury, M Romanelli, B Tan, R Karri, S Garg
arXiv preprint arXiv:2401.12205, 2024
2024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
A Basak Chowdhury, M Romanelli, B Tan, R Karri, S Garg
arXiv e-prints, arXiv: 2401.12205, 2024
2024
Manipulation attacks on learned image compression
K Liu, D Wu, Y Wu, Y Wang, D Feng, B Tan, S Garg
IEEE Transactions on Artificial Intelligence, 2023
32023
Autochip: Automating hdl generation using llm feedback
S Thakur, J Blocklove, H Pearce, B Tan, S Garg, R Karri
arXiv preprint arXiv:2311.04887, 2023
182023
Towards the Imagenets of ML4EDA
AB Chowdhury, S Thakur, H Pearce, R Karri, S Garg
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-7, 2023
2023
LipSim: A Provably Robust Perceptual Similarity Metric
S Ghazanfari, A Araujo, P Krishnamurthy, F Khorrami, S Garg
arXiv preprint arXiv:2310.18274, 2023
12023
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