arXiv Machine Learning By Yuji Yamamoto, Satoshi Matsuura

Bit-Flip Vulnerability of Shared KV-Cache Blocks in LLM Serving Systems

Read the original on arXiv Machine Learning →

arXiv:2604. 17249v2 Announce Type: replace-cross Abstract: Rowhammer on GPU DRAM has enabled adversarial bit flips in model weights; shared KV-cache blocks in LLM serving systems present an analogous but previously unexamined target.

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arXiv Machine Learning
Jul 7

Walma: Learning to See Memory Corruption in WebAssembly

arXiv:2603. 24167v2 Announce Type: replace-cross Abstract: WebAssembly's (Wasm) monolithic linear memory turns a single memory-corruption bug into a bidirectional threat: a compromised module can attack its embedding host, and a malicious host can tamper with a trusted module's state.

By Oussama Draissi, Mark G\"unzel, Ahmad-Reza Sadeghi, Lucas Davi