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New Attack Wrecks ML Models on NVIDIA GPUs
Hackers can now flip bits in NVIDIA A6000 GPU memory using a Rowhammer-style attack called GPUHammer, sabotaging deep learning models with a single hit. The University of Toronto's research shows how even advanced GPU memory is vulnerable.
Source: GPUHammer
Read more: CyberSecBrief
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The first practical demonstration (POC) confirms that Rowhammer-style memory attacks can effectively target GPU memory. NVIDIA, meet GPUHammer.
A study from the University of Toronto has revealed that modern graphics processing units (GPUs) are susceptible to Rowhammer-style memory attacks, challenging long-held assumptions about the security of GPU memory. The attack, named GPUHammer, represents the first practical demonstration of a Rowhammer exploit targeting high-performance, discrete GPUs, specifically those utilizing GDDR6…
