Kaya, Yiǧitcan

10 publications

ICLR 2024 DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras

ICLR 2024 Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras

NeurIPSW 2024 PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang

ICMLW 2023 Like Oil and Water: Group Robustness and Poisoning Defenses Don’t Mix Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras

ICML 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors Yigitcan Kaya, Muhammad Bilal Zafar, Sergul Aydore, Nathalie Rauschmayr, Krishnaram Kenthapadi

ICLR 2021 A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference Sanghyun Hong, Yigitcan Kaya, Ionuț-Vlad Modoranu, Tudor Dumitras

NeurIPS 2021 Qu-ANTI-Zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras

ICML 2021 When Does Data Augmentation Help with Membership Inference Attacks? Yigitcan Kaya, Tudor Dumitras

ICLR 2020 How to 0wn the NAS in Your Spare Time Sanghyun Hong, Michael Davinroy, Yiǧitcan Kaya, Dana Dachman-Soled, Tudor Dumitraş

ICML 2019 Shallow-Deep Networks: Understanding and Mitigating Network Overthinking Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras