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Kaleel Mahmood
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On the robustness of vision transformers to adversarial examples
K Mahmood, R Mahmood, M Van Dijk
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2392021
The interpose PUF: Secure PUF design against state-of-the-art machine learning attacks
PH Nguyen, DP Sahoo, C Jin, K Mahmood, U Rührmair, M van Dijk
IACR Transactions on Cryptographic Hardware and Embedded Systems, 243-290, 2019
1912019
On-demand asynchronous localization for underwater sensor networks
P Carroll, K Mahmood, S Zhou, H Zhou, X Xu, JH Cui
IEEE transactions on signal processing 62 (13), 3337-3348, 2014
1312014
Real-time automated counterfeit integrated circuit detection using x-ray microscopy
K Mahmood, PL Carmona, S Shahbazmohamadi, F Pla, B Javidi
Applied Optics 54 (13), D25-D32, 2015
552015
Autorep: Automatic relu replacement for fast private network inference
H Peng, S Huang, T Zhou, Y Luo, C Wang, Z Wang, J Zhao, X Xie, A Li, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
282023
Moving target defense for Internet of Things using context aware code partitioning and code diversification
K Mahmood, DM Shila
2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 329-330, 2016
262016
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
K Mahmood, R Mahmood, E Rathbun, M van Dijk
IEEE Access 10, 998-1019, 2021
232021
Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples
K Mahmood, D Gurevin, M van Dijk, PH Nguyen
Entropy 23 (10), 1359, 2021
202021
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
K Mahmood, PH Nguyen, LM Nguyen, T Nguyen, M Van Dijk
IEEE Access 10, 1451-1474, 2021
18*2021
Securing the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
N Xu, K Mahmood, H Fang, E Rathbun, C Ding, W Wen
arXiv e-prints, arXiv: 2209.03358, 2022
102022
MXPUF: Secure PUF design against state-of-the-art modeling attacks
PH Nguyen, DP Sahoo, C Jin, K Mahmood, M van Dijk
Cryptology ePrint Archive, 2017
92017
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization
Y Luo, N Xu, H Peng, C Wang, S Duan, K Mahmood, W Wen, C Ding, ...
Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023
82023
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification
Y Wang, N Xu, S Huang, K Mahmood, D Guo, C Ding, W Wen, ...
2022 IEEE International Conference on Big Data (Big Data), 5823-5832, 2022
82022
Implementation and field testing of on-demand asynchronous underwater localization
K Mahmood, K Domrese, P Carroll, H Zhou, X Xu, S Zhou
Proc. of Asilomar Conf. on Signals, Systems, and Computers, 2013
72013
Study of class-D power amplifiers for underwater acoustic OFDM transmissions
X Xu, S Zhou, K Mahmood, L Wei, JH Cui
2013 OCEANS-San Diego, 1-3, 2013
72013
Neurogenesis dynamics-inspired spiking neural network training acceleration
S Huang, H Fang, K Mahmood, B Lei, N Xu, B Lei, Y Sun, D Xu, W Wen, ...
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
62023
Inverting Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
S Ahmad, K Mahmood, B Fuller
2022 IEEE International Joint Conference on Biometrics (IJCB), 1-11, 2022
62022
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
E Rathbun, K Mahmood, S Ahmad, C Ding, M van Dijk
arXiv preprint arXiv:2211.14669, 2022
22022
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
J Deng, H Hong, A Palmer, X Zhou, J Bi, K Mahmood, Y Hong, D Aguiar
arXiv preprint arXiv:2405.16036, 2024
2024
Distilling Adversarial Robustness Using Heterogeneous Teachers
J Deng, A Palmer, R Mahmood, E Rathbun, J Bi, K Mahmood, D Aguiar
arXiv preprint arXiv:2402.15586, 2024
2024
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