All Stories

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