7 citations · 7 across the 5 of their papers we have counts for
7 papers
Reveree: Diagnosing LLM Reverse-Engineering Agents
Hadjer Benkraouda, Hongyu Cai, Berkay Celik +1
Reverse engineering (RE) is critical to security tasks such as malware analysis and vulnerability discovery, and large language model (LLM) agents are increasingly able to perform…
A SoK for SoCs: Reading the TI Leaves on AI for Cyber Threat Intelligence Generation and Sharing
Saastha Vasan, Hadjer Benkraouda, Jizhou Chen +8
Cyber Threat Intelligence (CTI) is essential for defending mission-critical infrastructure, yet the process of transforming raw attack evidence into shareable CTI remains fragmente…
Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
Asif Shahriar, Hongyu Cai, Hadjer Benkraouda +2
Researchers and practitioners increasingly apply Large Language Models (LLMs) for automated vulnerability detection. Recent work has shown that LLMs are susceptible to the same cog…
PurpCode: Reasoning for Safer Code Generation
Jiawei Liu, Nirav Diwan, Zhe Wang +11
We introduce PurpCode, the first post-training recipe for training safe code reasoning models towards generating secure code and defending against malicious cyberactivities. PurpCo…
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
Ragini Gupta, Shinan Liu, Ruixiao Zhang +7
Machine learning has shown promise in network intrusion detection systems, yet its performance often degrades due to concept drift and imbalanced data. These challenges are compoun…
Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability
Hadjer Benkraouda, Jingyu Qian, Hung Quoc Tran +1
With the rapid development of machine learning for image classification, researchers have found new applications of visualization techniques in malware detection. By converting bin…