Yigitcan Kaya - RankMe

30 papers A* 10Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. CoRR Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
2025	J	`jnl`	MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation. CoRR Eunjin Roh, Yigitcan Kaya, Christopher Kruegel, Giovanni Vigna, Sanghyun Hong
2025	—	`conf`	ML-Based Behavioral Malware Detection Is Far From a Solved Problem. SaTML Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2025	—	`conf`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. NAACL (Long Papers) Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. CoRR Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot Plugins. CoRR Yigitcan Kaya, Anton Landerer, Stijn Pletinckx, Michelle Zimmermann, Christopher Kruegel, Giovanni Vigna
2024	A*	`conf`	DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
2024	J	`jnl`	Demystifying Behavior-Based Malware Detection at Endpoints. CoRR Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2024	A*	`conf`	Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. ICLR Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
2024	—	`conf`	Understanding, Uncovering, and Mitigating the Causes of Inference Slowdown for Language Models. SaTML Kamala Varma, Arda Numanoglu, Yigitcan Kaya, Tudor Dumitras
2023	J	`jnl`	Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi
2023	—	`—`	The Limitations of Deep Learning Methods in Realistic Adversarial Settings. Yigitcan Kaya
2022	A*	`conf`	Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi
2021	A*	`conf`	A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. ICLR Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras
2021	A*	`conf`	Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. NeurIPS Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
2021	J	`jnl`	Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. CoRR Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
2021	A*	`conf`	When Does Data Augmentation Help With Membership Inference Attacks? ICML Yigitcan Kaya, Tudor Dumitras
2020	J	`jnl`	A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. CoRR Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras
2020	J	`jnl`	How to 0wn NAS in Your Spare Time. CoRR Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras
2020	A*	`conf`	How to 0wn the NAS in Your Spare Time. ICLR Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras
2020	J	`jnl`	On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping. CoRR Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, Nicolas Papernot
2020	J	`jnl`	On the Effectiveness of Regularization Against Membership Inference Attacks. CoRR Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
2019	A*	`conf`	Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. ICML Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
2019	A*	`conf`	Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. USENIX Security Symposium Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras
2019	J	`jnl`	Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. CoRR Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras
2018	J	`jnl`	How to Stop Off-the-Shelf Deep Neural Networks from Overthinking. CoRR Yigitcan Kaya, Tudor Dumitras
2018	J	`jnl`	Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks. CoRR Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Stuart Nevans Locke, Ian Rackow, Kevin Kulda, Dana Dachman-Soled, Tudor Dumitras
2018	—	`conf`	Too Big to FAIL: What You Need to Know Before Attacking a Machine Learning System. Security Protocols Workshop Tudor Dumitras, Yigitcan Kaya, Radu Marginean, Octavian Suciu
2018	A*	`conf`	When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. USENIX Security Symposium Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras
2018	J	`jnl`	When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. CoRR Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras