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Marten van Dijk
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Publications
- 2022
- [j40]Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk:
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. IEEE Access 10: 998-1019 (2022) - [j39]Kaleel Mahmood, Phuong Ha Nguyen, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk:
Besting the Black-Box: Barrier Zones for Adversarial Example Defense. IEEE Access 10: 1451-1474 (2022) - [i62]Ethan Rathbun, Kaleel Mahmood, Sohaib Ahmad, Caiwen Ding, Marten van Dijk:
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning. CoRR abs/2211.14669 (2022) - 2021
- [j35]Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuoung Ha Nguyen:
Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples. Entropy 23(10): 1359 (2021) - [c73]Kaleel Mahmood, Rigel Mahmood, Marten van Dijk:
On the Robustness of Vision Transformers to Adversarial Examples. ICCV 2021: 7818-7827 - [i58]Kaleel Mahmood, Rigel Mahmood, Marten van Dijk:
On the Robustness of Vision Transformers to Adversarial Examples. CoRR abs/2104.02610 (2021) - [i57]Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk:
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. CoRR abs/2109.15031 (2021) - 2020
- [i52]Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen:
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples. CoRR abs/2006.10876 (2020) - 2019
- [j28]Phuong Ha Nguyen, Durga Prasad Sahoo, Chenglu Jin, Kaleel Mahmood, Ulrich Rührmair, Marten van Dijk:
The Interpose PUF: Secure PUF Design against State-of-the-art Machine Learning Attacks. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2019(4): 243-290 (2019) - [i46]Phuong Ha Nguyen, Kaleel Mahmood, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk:
BUZz: BUffer Zones for defending adversarial examples in image classification. CoRR abs/1910.02785 (2019) - 2018
- [i38]Phuong Ha Nguyen, Durga Prasad Sahoo, Chenglu Jin, Kaleel Mahmood, Ulrich Rührmair, Marten van Dijk:
The Interpose PUF: Secure PUF Design against State-of-the-art Machine Learning Attacks. IACR Cryptol. ePrint Arch. 2018: 350 (2018) - 2017
- [i30]Phuong Ha Nguyen, Durga Prasad Sahoo, Chenglu Jin, Kaleel Mahmood, Marten van Dijk:
MXPUF: Secure PUF Design against State-of-the-art Modeling Attacks. IACR Cryptol. ePrint Arch. 2017: 572 (2017)
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