4 citations · 9 across the 6 of their papers we have counts for
6 papers
Using Retriever Augmented Large Language Models for Attack Graph Generation
Renascence Tarafder Prapty, Ashish Kundu, Arun Iyengar
As the complexity of modern systems increases, so does the importance of assessing their security posture through effective vulnerability management and threat modeling techniques.…
Code Hallucination
Mirza Masfiqur Rahman, Ashish Kundu
Generative models such as large language models are extensively used as code copilots and for whole program generation. However, the programs they generate often have questionable…
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
Xun Xian, Ganghua Wang, Xuan Bi +4
Safeguarding intellectual property and preventing potential misuse of AI-generated images are of paramount importance. This paper introduces a robust and agile plug-and-play waterm…
Transfer Learning for Security: Challenges and Future Directions
Adrian Shuai Li, Arun Iyengar, Ashish Kundu +1
Many machine learning and data mining algorithms rely on the assumption that the training and testing data share the same feature space and distribution. However, this assumption m…
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
Ganghua Wang, Xun Xian, Jayanth Srinivasa +4
The growing dependence on machine learning in real-world applications emphasizes the importance of understanding and ensuring its safety. Backdoor attacks pose a significant securi…
Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel +3
Chatbots, the common moniker for collaborative assistants, are Artificial Intelligence (AI) software that enables people to naturally interact with them to get tasks done. Although…