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SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation
Yibo Peng, Long Lian, David Wagner +1
Prompt injection is listed as the \#1 threat to AI agents. When an agent accesses external data from websites, files, or emails, an attacker may inject a prompt into the data, sayi…
Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation
Om Singh, Yagyaraj Pandey, Nandini Pathak
Cloud environments built on Amazon Web Services face a structural security vulnerability: once a credential passes authentication, the resulting session is often treated as trusted…
A Case-Control Measurement Study of OSINT Source Effectiveness for Critical Infrastructure Defense
Ekrem E. Emeksiz, Jeel Piyushkumar Khatiwala, Divyangkumar Patel +1
Defenders of critical infrastructure (CI) subscribe to many public open-source intelligence (OSINT) feeds without an empirical basis for which feeds actually precede attacks. We pr…
Structural Inference in Undocumented Mobile Databases: A Reproducible Benchmark for Evaluating Agentic Reasoning in Digital Forensics
Jeel Piyushkumar Khatiwala, Divyangkumar Patel, Weifeng Xu
Agentic large language models are increasingly used in digital forensic analysis, yet their ability to infer relational structure inside undocumented mobile application databases r…
Scalable PII Discovery in Mobile App Databases via Hypothesis-Driven Search
Jeel Piyushkumar Khatiwala, Samad Afolabi, Ruoyao Xiao +3
Discovering personally identifiable information (PII) in mobile forensic databases is difficult because the relevant table-column regions are unknown, distributed across heterogene…
Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking
Arulnidhi Karunanidhi
Persistent memory makes false information durable: once a false statement is stored, it can be retrieved into future sessions that match it. We measure the cost of this failure mod…