Anomaly detection in a forensic timeline with deep autoencoders

Binary Function Clone Search in the Presence of Code Obfuscation and Optimization over Multi-CPU Architectures

Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers

From Grim Reality to Practical Solution: Malware Classification in Real-World Noise

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

InCoder: A Generative Model for Code Infilling and Synthesis

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Ground Truth for Binary Disassembly is Not Easy

Black-box Attacks Against Neural Binary Function Detection

SelectiveTaint: Efficient Data Flow Tracking With Static Binary Rewriting