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T-BFA: Targeted Bit-Flip Adversarial Weight Attack.

, , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 7928-7939 (2022)

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Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness., , , , , and . CoRR, (2019)T-BFA: Targeted Bit-Flip Adversarial Weight Attack., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 7928-7939 (2022)Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection., , , , , , and . IEEE Des. Test, 39 (4): 71-80 (2022)DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips., , and . USENIX Security Symposium, page 1463-1480. USENIX Association, (2020)Robust Machine Learning via Privacy/Rate-Distortion Theory., , , , and . CoRR, (2020)Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples., , , and . CoRR, (2018)Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search., , and . ICCV, page 1211-1220. IEEE, (2019)Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution., , , , and . ACM J. Emerg. Technol. Comput. Syst., 16 (2): 15:1-15:24 (2020)DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks., , , , and . CoRR, (2023)DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning., , and . CoRR, (2020)