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EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry.

, , , , , and . CoRR, (2021)

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PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis., , , , , , , , and . USENIX Security Symposium, page 2365-2382. USENIX Association, (2023)Make Landscape Flatter in Differentially Private Federated Learning., , , , , and . CVPR, page 24552-24562. IEEE, (2023)Blueprint Separable Residual Network for Efficient Image Super-Resolution., , , , , , and . CVPR Workshops, page 832-842. IEEE, (2022)The Analysis of China New Energy Vehicle Industry Alliance Status Based on UCINET Software., and . J. Comput., 6 (9): 1852-1856 (2011)Efficient Image Super-Resolution Using Vast-Receptive-Field Attention., , , , , , , and . ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 256-272. Springer, (2022)Backdoor Scanning for Deep Neural Networks through K-Arm Optimization., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9525-9536. PMLR, (2021)Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples., , , and . NeurIPS, page 7728-7739. (2018)Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features., , , and . CCS, page 113-131. ACM, (2020)Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification., , , and . CoRR, (2020)Black-box adversarial sample generation based on differential evolution., , , and . J. Syst. Softw., (2020)