6 papers
Trace: Unmasking AI Attack Agents Through Terminal Behavior Fingerprinting
Murali Ediga, Sudipta Chattopadhyay
AI-driven penetration testing agents are now capable of autonomously executing attacks within compromised networks. Identifying the model family that controls the active sessions o…
Localizing Malicious Outputs from CodeLLM
Mayukh Borana, Junyi Liang, Sai Sathiesh Rajan +1
We introduce FreqRank, a mutation-based defense to localize malicious components in LLM outputs and their corresponding backdoor triggers. FreqRank assumes that the malicious sub-s…
Knowledge-based Consistency Testing of Large Language Models
Sai Sathiesh Rajan, Ezekiel Soremekun, Sudipta Chattopadhyay
In this work, we systematically expose and measure the inconsistency and knowledge gaps of Large Language Models (LLMs). Specifically, we propose an automated testing framework (ca…
HInter: Exposing Hidden Intersectional Bias in Large Language Models
Badr Souani, Ezekiel Soremekun, Mike Papadakis +3
Large Language Models (LLMs) may portray discrimination towards certain individuals, especially those characterized by multiple attributes (aka intersectional bias). Discovering in…
A Smart City Infrastructure Ontology for Threats, Cybercrime, and Digital Forensic Investigation
Yee Ching Tok, Davis Yang Zheng, Sudipta Chattopadhyay
Cybercrime and the market for cyber-related compromises are becoming attractive revenue sources for state-sponsored actors, cybercriminals and technical individuals affected by fin…
End-user Comprehension of Transfer Risks in Smart Contracts
Yustynn Panicker, Ezekiel Soremekun, Sudipta Chattopadhyay +1
Smart contracts are increasingly used in critical use cases (e.g., financial transactions). Thus, it is pertinent to ensure that end-users understand the transfer risks in smart co…