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Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

, , , , , , , and . TPS-ISA, page 263-272. IEEE, (2020)

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Privacy-Preserving Inductive Learning with Decision Trees., , , and . BigData Congress, page 57-64. IEEE Computer Society, (2017)Cross-Layer Strategic Ensemble Defense Against Adversarial Examples., , , , , , and . CoRR, (2019)An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy., , , , and . IEEE Trans. Inf. Forensics Secur., (2022)A Hybrid Approach to Privacy-Preserving Federated Learning., , , , , , and . AISec@CCS, page 1-11. ACM, (2019)TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems., , , , , and . CoRR, (2020)Data Poisoning Attacks Against Federated Learning Systems., , , and . ESORICS (1), volume 12308 of Lecture Notes in Computer Science, page 480-501. Springer, (2020)Understanding Object Detection Through an Adversarial Lens., , , , , and . ESORICS (2), volume 12309 of Lecture Notes in Computer Science, page 460-481. Springer, (2020)Differentially Private Model Publishing for Deep Learning., , , , and . IEEE Symposium on Security and Privacy, page 332-349. IEEE, (2019)Demystifying Membership Inference Attacks in Machine Learning as a Service., , , , and . IEEE Trans. Serv. Comput., 14 (6): 2073-2089 (2021)Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems., , , , , , , and . TPS-ISA, page 263-272. IEEE, (2020)