43 citations · 46 across the 15 of their papers we have counts for
6 papers · 2 filters
Privacy Conductor: An Architectural Enforcement of Contextual Integrity in LLM-Based Document Retrieval
Ryan Thornton, Mir Mehedi A. Pritom, Maanak Gupta +1
Large language model (LLM) that retrieve internal documents within an organization must decide who may receive them. Existing approaches based on Contextual Integrity ask the model…
ExplainGuard: A Zero Trust Framework for Post-Hoc Explanation Integrity Guarantees in Blackbox XAI Models
Maraz Mia, Shovan Roy, Mir Mehedi A. Pritom +1
As machine learning (ML) models are increasingly deployed in high-stakes environments, explainable AI (XAI) methods like SHAP and LIME have become essential for regulatory complian…
Malformer: A Multi-Modal Malware Detector Using Transformers
Samuel Howard, Kshitiz Aryal, Mahmoud Abdelsalam +3
Traditional malware detection systems that rely on a single representation of malware often fail to identify novel threats. These representations of malware binaries, also known as…
VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
Katherine Swinea, Kshitiz Aryal, Lopamudra Praharaj +1
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and ada…
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
Pradip Kunwar, Minh Vu, Maanak Gupta +1
Fine-tuning large language models on sensitive data poses significant privacy risks, as membership inference attacks can reveal whether individual records were used during training…
A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypes
Sahaya Jestus Lazer, Kshitiz Aryal, Maanak Gupta +1
Agentic AI marks an important transition from single-step generative models to systems capable of reasoning, planning, acting, and adapting over long-lasting tasks. By integrating…