Yigitcan Kaya

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Malware Detection

Quantization Step

Security Analysis

Top Venues

USENIX Security Symposium

Publications

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR (2024)
Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR (2024)
Kamala Varma, Arda Numanoglu, Yigitcan Kaya, Tudor Dumitras
Understanding, Uncovering, and Mitigating the Causes of Inference Slowdown for Language Models. SaTML (2024)
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)
Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi
Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR (2023)
Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi
Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML (2022)
Yigitcan Kaya, Tudor Dumitras
When Does Data Augmentation Help With Membership Inference Attacks? ICML (2021)
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)
Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. NeurIPS (2021)
Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. CoRR (2021)
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 (2020)
Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, Nicolas Papernot
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping. CoRR (2020)
Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
On the Effectiveness of Regularization Against Membership Inference Attacks. CoRR (2020)
Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras
How to 0wn NAS in Your Spare Time. CoRR (2020)
Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras
How to 0wn the NAS in Your Spare Time. ICLR (2020)
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)
Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. ICML (2019)
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 (2019)
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)
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)
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 (2018)
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. CoRR (2018)
Yigitcan Kaya, Tudor Dumitras
How to Stop Off-the-Shelf Deep Neural Networks from Overthinking. CoRR (2018)