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  1. FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

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  2. Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection

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  3. TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

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  4. WOOTdroid: Whole-system Online On-device Tracing for Android

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  5. MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks

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  6. Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures

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  7. How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

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  8. The Satoshi Overhang: Why the Bear Case is Bounded

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  9. VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

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  10. SecGoal: A Benchmark for Security Goal Extraction and Formalization from Protocol Documents

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  11. SBN Explorer: An Empirical Study of Cryptographic Boolean Networks

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  12. SST-Guard: Detecting and Characterizing Server-Side Google Analytics in the Wild

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  13. Low Rank Adaptation for Adversarial Perturbation

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  14. Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study

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  15. Secure Cross-Silo Synthetic Genomic Data Generation

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  16. Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots

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  17. AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

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  18. Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

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  19. Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis

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  20. REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

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