← authors · overview

• BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
  2017 · 1004 citations
• StarCoder: may the source be with you!
  2023 · 197 citations
• Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
  2022 · 39 citations
• Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
  2018 · 38 citations
• Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions
  2021 · 21 citations
• Examining Zero-Shot Vulnerability Repair with Large Language Models
  2021 · 15 citations
• Benchmarking Large Language Models for Automated Verilog RTL Code Generation
  2022 · 11 citations
• VeriGen: A Large Language Model for Verilog Code Generation
  2023 · 10 citations
• An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
  2024 · 6 citations
• NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
  2024 · 3 citations
• D-CIPHER: Dynamic Collaborative Intelligent Multi-agent System With Planner And Heterogeneous Executors For Offensive Security
  2025 · 1 citations
• NNoculation: Catching BadNets in the Wild
  2020 · 1 citations
• ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space
  2025
• Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing
  2024