Yigitcan Kaya

发表

On the Effectiveness of Regularization Against Membership Inference Attacks pdf

Tudor Dumitras, Yigitcan Kaya, Sanghyun Hong, 2020, ArXiv.

Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks pdf

Tudor Dumitras, Dana Dachman-Soled, Yigitcan Kaya, 2018, ArXiv.

On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping pdf

Tudor Dumitras, Nicolas Papernot, Yigitcan Kaya, 2020, ArXiv.

Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

Tudor Dumitras, Yigitcan Kaya, Sanghyun Hong, 2018, ICML.

How to Stop Off-the-Shelf Deep Neural Networks from Overthinking pdf

Tudor Dumitras, Yigitcan Kaya, 2018, ArXiv.

Too Big to FAIL: What You Need to Know Before Attacking a Machine Learning System

Tudor Dumitras, Yigitcan Kaya, Octavian Suciu, 2018, Security Protocols Workshop.

Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks pdf

Tudor Dumitras, Cristiano Giuffrida, Sanghyun Hong, 2019, USENIX Security Symposium.

A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference pdf

Tudor Dumitras, Yigitcan Kaya, Sanghyun Hong, 2020, ICLR.

How to 0wn NAS in Your Spare Time pdf

Tudor Dumitras, Dana Dachman-Soled, Yigitcan Kaya, 2020, ICLR.

When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

Tudor Dumitras, Hal Daumé, Yigitcan Kaya, 2018, USENIX Security Symposium.

Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes pdf

Tudor Dumitras, Yigitcan Kaya, Sanghyun Hong, 2021, ArXiv.

When Does Data Augmentation Help With Membership Inference Attacks?

Tudor Dumitras, Yigitcan Kaya, T. Dumitras, 2021, ICML.

A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference pdf

Tudor Dumitras, Yigitcan Kaya, Ionut-Vlad Modoranu, 2021, ICLR.