3 papers
cs.CR2026
SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels
Yongwan Jo, Jinyoung Park, Euihyun Lee +1
Modern large language models (LLMs) exhibit activation sparsity, wherein only a subset of their neurons is activated for given input tokens. Researchers have leveraged this propert…
cs.CR2026
SoK: AI-Augmented Binary Reversing
Yujeong Kwon, Yiyue Zhang, Shakhzod Yuldoshkhujaev +3
Binary reversing is fundamental to software understanding, vulnerability discovery, malware investigation, and firmware auditing. However, it remains inherently challenging due to…
cs.AI2025
SEAL: Entangled White-box Watermarks on Low-Rank Adaptation
Giyeong Oh, Saejin Kim, Woohyun Cho +4
Recently, LoRA and its variants have become the de facto strategy for training and sharing task-specific versions of large pretrained models, thanks to their efficiency and simplic…