vulnerability detection

Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning NeurIPS 2024 EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection IJCAI 2024 Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning ACL 2024 Is Function Similarity Over-Engineered? Building a Benchmark NeurIPS 2024 NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security NeurIPS 2024 RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? EMNLP 2024 Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection NeurIPS 2024 VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes IJCAI 2024 Unveiling Safety Vulnerabilities of Large Language Models EMNLP 2023 SCALE: Automatically Finding RFC Compliance Bugs in DNS Nameservers NSDI 2022 Towards Learning (Dis)-Similarity of Source Code from Program Contrasts ACL 2022 Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features Interspeech 2021 Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion IJCAI 2021 Smart Contract Vulnerability Detection using Graph Neural Network IJCAI 2020 Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media NAACL 2019 Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols AAAI 2019 Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection ICLR 2019 VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities IJCAI 2019