7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CR2026
Targeted Bit-Flip Attacks on LLM-Based Agents
Jialai Wang, Ya Wen, Zhongmou Liu +4
Targeted bit-flip attacks (BFAs) exploit hardware faults to manipulate model parameters, posing a significant security threat. While prior work targets single-step inference models…
cs.CR2023★ 7 cited
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Jialai Wang, Ziyuan Zhang, Meiqi Wang +6
Bit-flip attacks (BFAs) have attracted substantial attention recently, in which an adversary could tamper with a small number of model parameter bits to break the integrity of DNNs…