From the 1 of 9 linked papers with an AI index.
9 papers
MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment
Junyoung Park, Namgyu Park, Sechan Lee +3
The paper proposes a turn-level credit assignment framework (DC‑GRPO) for training multi‑turn jailbreak attacks on large language models, showing higher success rates than prior me…
REAN: Reconstruction-aware ECG Anonymization Based on Privacy--Utility Orthogonality
Taerin Ki, Sunghwan Park, Junyoung Park +1
A shared electrocardiogram (ECG) is itself a biometric fingerprint that can re-identify a patient and reveal personal information. Recent ECG anonymizers transform the signal befor…
Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models
Junyoung Park, Seongyong Ju, Sunghwan Park +1
As Large Language Models evolve for user convenience, vulnerability to jailbreak attacks continues to be reported despite ongoing efforts in safety training. Traditional jailbreak…
Beyond Attack Success Rate: Temporal Logit Observability for LLM Safety Failures
Junyoung Park, Sunghwan Park, Seongyong Ju +1
Attack Success Rate (ASR) evaluates each jailbreak with a single yes/no label at the end of generation, telling us whether a failure happened but not how it unfolded. Two attacks t…
QUOKA: Query-Oriented KV Selection For Efficient LLM Prefill
Dalton Jones, Junyoung Park, Matthew Morse +3
We present QUOKA: Query-oriented KV selection for efficient attention, a training-free and hardware agnostic sparse attention algorithm for accelerating transformer inference under…
Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity
Aayush Gautam, Mukul Gagrani, Junyoung Park +3
The prefill stage of large language model (LLM) inference is a key computational bottleneck for long-context workloads. At short-to-moderate context lengths (1K--16K tokens), Feed-…