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Kaleel Mahmood
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2020 – today
- 2024
- [i14]Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar:
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR abs/2402.15586 (2024) - [i13]Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar:
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR abs/2405.16036 (2024) - 2023
- [c7]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC 2023: 1-6 - [c6]Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV 2023: 5155-5165 - [c5]Yukui Luo
, Nuo Xu
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO 2023: 628-640 - [i12]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR abs/2304.12214 (2023) - [i11]Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan:
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models. CoRR abs/2305.12066 (2023) - [i10]Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR abs/2308.10134 (2023) - 2022
- [j5]Kaleel Mahmood
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. IEEE Access 10: 998-1019 (2022) - [j4]Kaleel Mahmood
Besting the Black-Box: Barrier Zones for Adversarial Example Defense. IEEE Access 10: 1451-1474 (2022) - [c4]Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran:
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. IEEE Big Data 2022: 5823-5832 - [c3]Sohaib Ahmad, Kaleel Mahmood, Benjamin Fuller:
Inverting Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models. IJCB 2022: 1-11 - [i9]Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen:
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. CoRR abs/2209.03358 (2022) - [i8]Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood:
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models. CoRR abs/2209.11020 (2022) - [i7]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
- [j3]Kaleel Mahmood
Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples. Entropy 23(10): 1359 (2021) - [c2]Kaleel Mahmood, Rigel Mahmood, Marten van Dijk:
On the Robustness of Vision Transformers to Adversarial Examples. ICCV 2021: 7818-7827 - [i6]Kaleel Mahmood, Rigel Mahmood, Marten van Dijk:
On the Robustness of Vision Transformers to Adversarial Examples. CoRR abs/2104.02610 (2021) - [i5]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
- [i4]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)
2010 – 2019
- 2019
- [j2]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) - [i3]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
- [i2]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
- [i1]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) - 2016
- [c1]Kaleel Mahmood, Devu Manikantan Shila:
Moving target defense for Internet of Things using context aware code partitioning and code diversification. WF-IoT 2016: 329-330 - 2014
- [j1]Patrick Carroll, Kaleel Mahmood, Shengli Zhou, Hao Zhou, Xiaoka Xu, Jun-Hong Cui:
On-Demand Asynchronous Localization for Underwater Sensor Networks. IEEE Trans. Signal Process. 62(13): 3337-3348 (2014)
Coauthor Index
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