~ similar to 2604.24287v1· 20 results
Jumin Kim, Seungmin Baek, Hwayong Nam, Minbok Wi +2 more
The paper introduces PVAC, a novel victim-based row counting mechanism that accurately tracks RowHammer attacks by incrementing counters on the victim row, thereby improving hammering tolerance and pe…
The paper proposes PrISM, an intersection-based probabilistic mitigation technique that significantly improves the scalability of RowHammer defense at low thresholds by correlating sampled row history…
HammerSim is a new gem5-based framework that provides full-system visibility to model the RowHammer vulnerability, allowing researchers to study complex OS effects and hardware/software mitigations.
HammerSim is a novel gem5-based framework that provides full-system visibility to model the RowHammer vulnerability, allowing researchers to evaluate complex hardware and software mitigations.
Chris S. Lin, Yuqin Yan, Guozhen Ding, Joyce Qu +3 more
This paper demonstrates a novel GPU-side privilege escalation attack, showing that Rowhammer can be used to target and tamper with page tables to gain unauthorized access to co-tenant memory and ultim…
The paper proposes HammerWatch, a novel remote attestation protocol that enables external verifiers to detect hardware-induced disturbances, specifically Rowhammer-like attacks, by analyzing memory-le…
Zilong Hu, Hongming Fei, Prosanta Gope, Jack Miskelly +2 more
The paper introduces a quantitative, cell-level circuit framework to model DRAM vulnerability by linking physical charge leakage and disturbance pathways to system-level security properties like volat…
The paper analyzes the bit-flip vulnerability of shared KV-cache blocks in LLM serving systems, demonstrating that these blocks are susceptible to silent, persistent, and selective data corruption.
LIPPEN introduces a novel hardware-software co-design that provides strong, zero-overhead pointer encryption for enhanced memory safety, achieving comprehensive pointer integrity and confidentiality.
The paper systematically evaluates various defense mechanisms against persistent memory attacks on LLM agents, finding that only tool-gating at the memory layer (Memory Sandbox) effectively mitigates…
This paper analyzes vector register usage across thousands of Linux packages to determine the real-world impact of the Downfall side-channel attack, finding that over 60% of packages use vector regist…
The paper characterizes 'dead-entry' TLB misses in GPUs, which occur when recently evicted translations are immediately re-walked, and proposes DEPOT, a Bloom filter mechanism that significantly reduc…
The paper introduces PoSME, a cryptographic primitive that enforces strict sequential memory execution by chaining data-dependent writes, providing verifiable delay and authorship attestation.
The paper presents a highly optimized, low-stack implementation of the HAETAE signature scheme, reducing peak stack usage significantly to enable its use on severely memory-constrained microcontroller…
Zeng Wang, Minghao Shao, Weimin Fu, Prithwish Basu Roy +5 more
The paper introduces HarmChip, a novel benchmark to evaluate LLM vulnerability to domain-specific hardware security threats, revealing that current safety guardrails fail against semantically disguise…
Tessera introduces a novel hardware architecture that achieves secure, near-line-rate weight streaming for DNNs on UMA edge accelerators by performing cache-line granularity decryption during DRAM fet…
The paper proposes using hardware fingerprints instead of vulnerable cryptographic keys to enhance the security and robustness of GPU location verification for governing advanced AI development.
PoisonCap introduces a new 'poison' capability format for CHERI systems to provide efficient, strict use-after-free and initialization safety, surpassing existing temporal safety solutions.
This paper presents SCP, a cache partitioning design that combines strict eviction isolation with write-shared coherence to mitigate eviction-based cache side channels.
Walma is a machine learning framework that uses memory snapshot classification to detect memory corruption and external tampering in WebAssembly, demonstrating practical feasibility with low overhead.