5 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Distribution-aware Fairness Test Generation
Sai Sathiesh Rajan, Ezekiel Soremekun, Yves Le Traon +1
Ensuring that all classes of objects are detected with equal accuracy is essential in AI systems. For instance, being unable to identify any one class of objects could have fatal c…
AequeVox: Automated Fairness Testing of Speech Recognition Systems
Sai Sathiesh Rajan, Sakshi Udeshi, Sudipta Chattopadhyay
Automatic Speech Recognition (ASR) systems have become ubiquitous. They can be found in a variety of form factors and are increasingly important in our daily lives. As such, ensuri…