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National University of Defense Technology
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Salience Induction can redirect reasoning in RAG systems even when all retrieved claims are true, achieving an 83.3% attack success rate against leading models.
MLQENABLER allows secure machine learning queries on encrypted databases, striking a balance between data privacy and ML performance.
Untrusted AI agents can now operate at unprecedented speeds while maintaining rigorous safety guarantees, achieving a 2.96x speedup with only 2.1% regret.
Achieving a 100% network port opening rate, FirmCure revolutionizes the rehosting of Linux firmware by eliminating expert dependency and enhancing efficiency.
MAST achieves targeted forgetting in RLVR-induced reasoning with minimal impact on performance, preserving critical task accuracy while effectively unlearning unwanted knowledge.