3 citations · 3 across the 3 of their papers we have counts for
5 papers · 1 filter
Permitted but Unauthorized: Affordance-Induced Delegated-Scope Violations in Multi-Agent LLM Systems
Shravya Kanchi
Multi-agent LLM systems place several agents on shared infrastructure, where each agent holds permissions far broader than the task it is delegated -- so every agent is routinely p…
Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
Shravya Kanchi, Xiaoyan Zang, Ying Zhang +2
Developers create modern software applications (Apps) on top of third-party libraries (Libs). When library vulnerabilities are reachable through application code, the applications…
Taming Data Challenges in ML-based Security Tasks Using Generative AI
Shravya Kanchi, Neal Mangaokar, Aravind Cheruvu +4
Machine learning-based supervised classifiers are widely used for security tasks, and their improvement has been largely focused on algorithmic advancements. We argue that data cha…
Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI
Aravind Cheruvu, Shravya Kanchi, Sifat Muhammad Abdullah +4
Customizing Large Language Models (LLMs) on untrusted datasets poses severe risks of injecting toxic behaviors. In this work, we introduce Optimus, a novel defense framework design…
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Sifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi +4
Deepfake or synthetic images produced using deep generative models pose serious risks to online platforms. This has triggered several research efforts to accurately detect deepfake…