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No One In The Middle: Enabling Network Access Control Via Transparent Attribution.

, , , , , and . AsiaCCS, page 651-658. ACM, (2018)

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Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking., , , , , and . CoRR, (2019)No One In The Middle: Enabling Network Access Control Via Transparent Attribution., , , , , and . AsiaCCS, page 651-658. ACM, (2018)An Initial Investigation of Protocol Customization., , and . FEAST@CCS, page 57-64. ACM, (2017)QoE Inference Without Application Control., , , , and . Internet-QoE@SIGCOMM, page 19-24. ACM, (2016)On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles., , , , and . CoRR, (2022)Android UI Deception Revisited: Attacks and Defenses., , , , , , and . Financial Cryptography, volume 9603 of Lecture Notes in Computer Science, page 41-59. Springer, (2016)Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control., , , , and . NDSS, The Internet Society, (2018)Discovering fine-grained RRC state dynamics and performance impacts in cellular networks., , , , , , and . MobiCom, page 177-188. ACM, (2014)Efficient route guidance in vehicular wireless networks., , , , and . WCNC, page 2694-2699. IEEE, (2014)Peeking into Your App without Actually Seeing It: UI State Inference and Novel Android Attacks., , and . USENIX Security Symposium, page 1037-1052. USENIX Association, (2014)