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cs.CR2026
Amplifying Latency and Cost of LLM Inference via Rowhammer Attack
Mrityunjay Shukla, Shubham Roy, Biswabandan Panda
Large language models (LLMs) achieve high inference efficiency using optimized GPU kernels generated by just-in-time (JIT) compilation frameworks such as Triton. Triton compiles GP…
cs.CR2026
The Avatar Cache: Enabling On-Demand Security with Morphable Cache Architecture
Anubhav Bhatla, Navneet Navneet, Moinuddin Qureshi +1
The sharing of the last-level cache (LLC) among multiple cores makes it vulnerable to cross-core conflict- and occupancy-based attacks. Despite extensive prior work, modern process…
cs.CR2021
Introducing Fast and Secure Deterministic Stash Free Write Only Oblivious RAMs for Demand Paging in Keystone
Mriganka Shekhar Chakravarty, Biswabandan Panda
Keystone is a trusted execution environment, based on RISC-V architecture. It divides the memory into a secure Keystone private memory and an unsecure non-Keystone memory, and allo…