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ORCIDYigitcan Kaya
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2020 – today
- 2024
[c12]Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras:
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. ICLR 2024- [c11]Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras:
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR 2024 - [c10]Kamala Varma, Arda Numanoglu, Yigitcan Kaya, Tudor Dumitras:
Understanding, Uncovering, and Mitigating the Causes of Inference Slowdown for Language Models. SaTML 2024: 723-740 - [i11]Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi
, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras:
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR abs/2405.06124 (2024) - 2023
- [b1]Yigitcan Kaya:
The Limitations of Deep Learning Methods in Realistic Adversarial Settings. University of Maryland, College Park, MD, USA, 2023 - [i10]Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi:
Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR abs/2303.13372 (2023) - 2022
- [c9]Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi:
Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML 2022: 10895-10911 - 2021
- [c8]Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras:
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. ICLR 2021 - [c7]Yigitcan Kaya, Tudor Dumitras:
When Does Data Augmentation Help With Membership Inference Attacks? ICML 2021: 5345-5355 - [c6]Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras:
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. NeurIPS 2021: 9303-9316 - [i9]Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras:
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. CoRR abs/2110.13541 (2021) - 2020
- [c5]Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras:
How to 0wn the NAS in Your Spare Time. ICLR 2020 - [i8]Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras:
How to 0wn NAS in Your Spare Time. CoRR abs/2002.06776 (2020) - [i7]Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, Nicolas Papernot:
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping. CoRR abs/2002.11497 (2020) - [i6]Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras:
On the Effectiveness of Regularization Against Membership Inference Attacks. CoRR abs/2006.05336 (2020) - [i5]Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras:
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. CoRR abs/2010.02432 (2020)
2010 – 2019
- 2019
- [c4]Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras:
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. ICML 2019: 3301-3310 - [c3]Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras:
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. USENIX Security Symposium 2019: 497-514 - [i4]Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras:
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. CoRR abs/1906.01017 (2019) - 2018
- [c2]Tudor Dumitras, Yigitcan Kaya, Radu Marginean, Octavian Suciu:
Too Big to FAIL: What You Need to Know Before Attacking a Machine Learning System. Security Protocols Workshop 2018: 150-162 - [c1]Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras:
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. USENIX Security Symposium 2018: 1299-1316 - [i3]Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras:
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. CoRR abs/1803.06975 (2018) - [i2]Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Stuart Nevans Locke, Ian Rackow, Kevin Kulda, Dana Dachman-Soled, Tudor Dumitras:
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks. CoRR abs/1810.03487 (2018) - [i1]Yigitcan Kaya, Tudor Dumitras:
How to Stop Off-the-Shelf Deep Neural Networks from Overthinking. CoRR abs/1810.07052 (2018)
Coauthor Index
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