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Sep 2026

A Lightweight Bounded-Residual DAE for Mitigating Adaptive Attacks on IoT Intrusion Detection Systems

Machine-learning intrusion detection has strengthened protection in Internet of Things (IoT) networks, but it also creates a new attack surface: small, deliberately chosen changes to flow features can make malicious traffic appear benign. Classifier hardening retrains the detector, while existing non-invasive schemes c...

Adil Khan, Amna Eleyan, T. Bejaoui · 0 citations
Open access Aug 2026

Evaluating Indirect Prompt Injection Defenses in Tool-Using LLM Agents: Security, Utility, and Replication

Large language model (LLM) agents that retrieve external content and use tools are vulnerable to indirect prompt injection, in which untrusted content contains instructions intended to influence agent behavior. We evaluated four defenses and an undefended control across GPT-5.4, GPT-5.4-mini, and Claude Sonnet 4.6 on t...

Adil Khan, Khaled AlKhanbashi, Azza Mohamed · 2 citations

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