OneFlip – New Attack Flips a Single Bit in Neural Networks for Stealthily Backdoor on AI Systems

In August 2025, researchers at George Mason University published a groundbreaking study at the 34th USENIX Security Symposium, introducing OneFlip, an inference-time backdoor attack that flips just one bit in full-precision neural networks to implant stealth triggers. Unlike traditional backdoor methods that require poisoning training data or manipulating the training process, OneFlip operates entirely at […]

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