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Disambiguation of "Kaya, Yigitcan"

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Generating Distributional Adversarial Examples to Evade Statistical Detectors.

, , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 10895-10911. PMLR, (2022)

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Yigitcan Karabulut

Kaya Thomas

Dilek Kaya

Selman Kaya

Devrimi Kaya

 

Other publications of authors with the same name

Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks., , , , and . USENIX Security Symposium, page 497-514. USENIX Association, (2019)Understanding, Uncovering, and Mitigating the Causes of Inference Slowdown for Language Models., , , and . SaTML, page 723-740. IEEE, (2024)When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks., , , , and . USENIX Security Symposium, page 1299-1316. USENIX Association, (2018)A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference., , , and . ICLR, OpenReview.net, (2021)When Does Data Augmentation Help With Membership Inference Attacks?, and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5345-5355. PMLR, (2021)Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks., , , , , , , and . CoRR, (2018)How to 0wn NAS in Your Spare Time., , , , and . CoRR, (2020)The Limitations of Deep Learning Methods in Realistic Adversarial Settings.. University of Maryland, College Park, MD, USA, (2023)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/30868).Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes., , , and . NeurIPS, page 9303-9316. (2021)Shallow-Deep Networks: Understanding and Mitigating Network Overthinking., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3301-3310. PMLR, (2019)