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Seeing isn't Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors.

, , , , , and . ACM Conference on Computer and Communications Security, page 1989-2004. ACM, (2019)

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FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning., , , , , and . USENIX Security Symposium, page 2255-2269. USENIX Association, (2020)Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain., , , and . CoRR, (2022)Boosting Neural Networks to Decompile Optimized Binaries., , , and . CoRR, (2023)AURC: Detecting Errors in Program Code and Documentation., , , , and . USENIX Security Symposium, page 1415-1432. USENIX Association, (2023)Seeing isn't Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors., , , , , and . ACM Conference on Computer and Communications Security, page 1989-2004. ACM, (2019)SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning., , , , , , , , , and 2 other author(s). CoRR, (2022)A Robustness-Assured White-Box Watermark in Neural Networks., , , , , , , and . IEEE Trans. Dependable Secur. Comput., 20 (6): 5214-5229 (November 2023)Using ensemble models to detect deepfake images of human faces., , and . MICML, page 31-35. ACM, (2023)Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 2954-2961. IOS Press, (2023)DBIA: Data-Free Backdoor Attack Against Transformer Networks., , , , , , and . ICME, page 2819-2824. IEEE, (2023)