33 citations · 58 across the 15 of their papers we have counts for
5 papers · 1 filter
Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration
Cristina Carleo, Pietro Liguori, Naghmeh Ivaki +1
Producing a labeled vulnerable code at scale is a recurring obstacle for learning-based vulnerability detection: mined corpora carry substantial label noise, and existing LLM-based…
Elevating Cyber Threat Intelligence against Disinformation Campaigns with LLM-based Concept Extraction and the FakeCTI Dataset
Domenico Cotroneo, Roberto Natella, Vittorio Orbinato
The swift spread of fake news and disinformation campaigns poses a significant threat to public trust, political stability, and cybersecurity. Traditional Cyber Threat Intelligence…
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
D. Cotroneo, F. C. Grasso, R. Natella +1
Vulnerability prediction is valuable in identifying security issues efficiently, even though it requires the source code of the target software system, which is a restrictive hypot…
AI Code Generators for Security: Friend or Foe?
Roberto Natella, Pietro Liguori, Cristina Improta +2
Recent advances of artificial intelligence (AI) code generators are opening new opportunities in software security research, including misuse by malicious actors. We review use cas…
Laccolith: Hypervisor-Based Adversary Emulation with Anti-Detection
Vittorio Orbinato, Marco Carlo Feliciano, Domenico Cotroneo +1
Advanced Persistent Threats (APTs) represent the most threatening form of attack nowadays since they can stay undetected for a long time. Adversary emulation is a proactive approac…