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Siddharth Garg

8 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

ICLR ×3NeurIPS ×3AAAI ×1AISTATS ×1

Frequent coauthors

Ramesh Karri
×4
Farshad Khorrami
×4
Prashanth Krishnamurthy
×3
Boyuan Chen
×2
Minghao Shao
×2
Muhammad Shafique
×2
Andre Nakkab
×2
Alexandre Araujo
×2
Marco Romanelli
×2
Abdul Basit
×1
Raghu Vamshi Hemadri
×1
Jitendra Bhandari
×1

Papers

  1. MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
    AAAI 2026 ·
    Boyuan Chen
    ,
    Minghao Shao
    ,
    Abdul Basit
    , Siddharth Garg,
    Muhammad Shafique
  2. VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
    NeurIPS 2025 ·
    Raghu Vamshi Hemadri
    ,
    Jitendra Bhandari
    ,
    Andre Nakkab
    ,
    Johann Knechtel
    ,
    Badri P. Gopalan
    ,
    Ramesh Narayanaswamy
    ,
    Ramesh Karri
    , Siddharth Garg
  3. VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification
    NeurIPS 2025 ·
    Patrick Yubeaton
    ,
    Andre Nakkab
    ,
    Weihua Xiao
    ,
    Luca Collini
    ,
    Ramesh Karri
    ,
    Chinmay Hegde
    , Siddharth Garg
  4. LipSim: A Provably Robust Perceptual Similarity Metric
    ICLR 2024 ·
    Sara Ghazanfari
    ,
    Alexandre Araujo
    ,
    Prashanth Krishnamurthy
    ,
    Farshad Khorrami
    , Siddharth Garg
  5. NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
    NeurIPS 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
  6. 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
  7. On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
    AISTATS 2024 ·
    Georg Pichler
    ,
    Marco Romanelli
    ,
    Divya Prakash Manivannan
    ,
    Prashanth Krishnamurthy
    ,
    Farshad Khorrami
    , Siddharth Garg
  8. Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
    ICLR 2024 ·
    Animesh Basak Chowdhury
    ,
    Marco Romanelli
    ,
    Benjamin Tan
    ,
    Ramesh Karri
    , Siddharth Garg