Kaleel Mahmood

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Moving Target Defense

Top Venues

IACR Cryptol. ePrint Arch.

Publications

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 (2024)
Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR (2024)
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 (2023)
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 (2023)
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)
Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO (2023)
Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models. CoRR (2023)
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)
Ethan Rathbun, Kaleel Mahmood, Sohaib Ahmad, Caiwen Ding, Marten van Dijk
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning. CoRR (2022)
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 (2022)
Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models. CoRR (2022)
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 (2022)
Sohaib Ahmad, Kaleel Mahmood, Benjamin Fuller
Inverting Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models. IJCB (2022)
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 (2022)
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. Big Data (2022)
Kaleel Mahmood, Rigel Mahmood, Marten van Dijk
On the Robustness of Vision Transformers to Adversarial Examples. CoRR (2021)
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) (2021)
Kaleel Mahmood, Rigel Mahmood, Marten van Dijk
On the Robustness of Vision Transformers to Adversarial Examples. ICCV (2021)
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 (2021)
Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples. CoRR (2020)
Phuong Ha Nguyen, Kaleel Mahmood, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk
BUZz: BUffer Zones for defending adversarial examples in image classification. CoRR (2019)
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) (2019)
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 (2018)
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 (2017)
Kaleel Mahmood, Devu Manikantan Shila
Moving target defense for Internet of Things using context aware code partitioning and code diversification. WF-IoT (2016)
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) (2014)