Cs-Cr
Sliced Rényi Pufferfish Privacy: Directional Additive Noise Mechanism and Private Learning with Gradient Clipping
VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
The Avatar Cache: Enabling On-Demand Security with Morphable Cache Architecture
TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents
Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers
AlertBERT: A noise-robust alert grouping framework for simultaneous cyber attacks
Confundo: Learning to Generate Robust Poison for Practical RAG Systems
Jamming Attacks on the Random Access Channel in 5G and B5G Networks
TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking
Dependable Artificial Intelligence with Reliability and Security (DAIReS): A Unified Syndrome Decoding Approach for Hallucination and Backdoor Trigger Detection
Do Prompts Guarantee Safety? Mitigating Toxicity from LLM Generations through Subspace Intervention
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
Efficient LLM Moderation with Multi-Layer Latent Prototypes
SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models
Know Your Scientist: KYC as Biosecurity Infrastructure
Private Sum Computation: Trade-Offs between Communication, Randomness, and Privacy
When Speculation Spills Secrets: Side Channels via Speculative Decoding In LLMs
Plato's Form: Toward Backdoor Defense-as-a-Service for LLMs with Prototype Representations
Federated Learning Clients Clustering with Adaptation to Data Drifts
AdFL: In-Browser Federated Learning for Online Advertisement
Zero-Trust Runtime Verification for Agentic Payment Protocols: Mitigating Replay and Context-Binding Failures in AP2
Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
