All Stories

  1. Augmenting Multi-technique Static Analysis with Large Language Models: A Neuro-symbolic Approach to Smart Contract Vulnerability Detection
  2. SmartIFSyn: Automated Information Flow Security Policy Synthesis for Smart Contracts
  3. RunTyper: Enhancing Deep Type Inference Using Dynamic Analysis for Python
  4. Verification of Bit-Flip Attacks against Quantized Neural Networks
  5. Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
  6. K-RAPID: A Formal Executable Semantics of the RAPID Robot Programming Language
  7. Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks
  8. When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
  9. Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples
  10. EasyBC: A Cryptography-Specific Language for Security Analysis of Block Ciphers against Differential Cryptanalysis
  11. Compositional Verification of First-Order Masking Countermeasures against Power Side-Channel Attacks
  12. CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models