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A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks.

, , , , , , , , and . IEEE Symposium on Security and Privacy, page 53-69. IEEE Computer Society, (2018)

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Data Poisoning Attack against Unsupervised Node Embedding Methods., , , , , , and . CoRR, (2018)Detecting AI Trojans Using Meta Neural Analysis., , , , , and . CoRR, (2019)Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3142-3150. PMLR, (2021)QEBA: Query-Efficient Boundary-Based Blackbox Attack., , , , and . CVPR, page 1218-1227. Computer Vision Foundation / IEEE, (2020)Detecting AI Trojans Using Meta Neural Analysis., , , , , and . SP, page 103-120. IEEE, (2021)A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks., , , , , , , , and . IEEE Symposium on Security and Privacy, page 53-69. IEEE Computer Society, (2018)Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection., , , , , , , , and . CoRR, (2021)The Trojan Detection Challenge., , , , , , , , , and 9 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 279-291. PMLR, (2021)Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving., , , , , , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1013-1024. PMLR, (2021)Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12479-12490. PMLR, (2021)