Kaleel Mahmood

According to our database, Kaleel Mahmood authored at least 34 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Analyzing Physical Adversarial Example Threats to Machine Learning in Election Systems.

Khaleque Md. Aashiq Kamal, Surya Eada, Aayushi Verma, Subek Acharya, Adrian Yemin, Benjamin Fuller, Kaleel Mahmood

CoRR, March, 2026

On the Evidentiary Limits of Membership Inference for Copyright Auditing.

Murat Bilgehan Ertan, Emirhan Böge, Min Chen, Kaleel Mahmood, Marten van Dijk

CoRR, January, 2026

Beyond Stop Signs: Why Evasion Attacks Matter Even More.

Kaleel Mahmood, Murat Bilgehan Ertan, Marten van Dijk

IEEE Secur. Priv., 2026

2025

EMTSF:Extraordinary Mixture of SOTA Models for Time Series Forecasting.

Musleh Alharthi, Kaleel Mahmood, Sarosh H. Patel, Ausif Mahmood

CoRR, October, 2025

Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks.

Murat Bilgehan Ertan, Ronak Sahu, Phuong Ha Nguyen, Kaleel Mahmood, Marten van Dijk

CoRR, April, 2025

Attacking all tasks at once using adversarial examples in multi-task learning.

Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan

Neurocomputing, 2025

Attacking the spike: On the security of spiking neural networks to adversarial examples.

Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

Neurocomputing, 2025

Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning.

Kaleel Mahmood, Ethan Rathbun, Ronak Sahu, Marten van Dijk, Sohaib Ahmad, Caiwen Ding

IEEE Access, 2025

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness.

Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar

Proceedings of the International Joint Conference on Neural Networks, 2025

Efficient Context Propagating Perceiver Architectures for Auto-Regressive Language Modeling.

Kaleel Mahmood, Shaoyi Huang

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

EMTSF: Extraordinary Mixture of SOTA Models for Time Series Forecasting.

Musleh Alharthi, Kaleel Mahmood, Sarosh H. Patel, Ausif Mahmood

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Busting the Paper Ballot: Voting Meets Adversarial Machine Learning.

Kaleel Mahmood, Caleb Manicke, Ethan Rathbun, Aayushi Verma, Sohaib Ahmad, Nicholas Stamatakis, Laurent Michel, Benjamin Fuller

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

Enhanced Computationally Efficient Long LoRA Inspired Perceiver Architectures for Auto-Regressive Language Modeling.

Kaleel Mahmood, Shaoyi Huang

CoRR, 2024

Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack.

Nicole Meng, Caleb Manicke, David Chen, Yingjie Lao, Caiwen Ding, Pengyu Hong, Kaleel Mahmood

CoRR, 2024

Distilling Adversarial Robustness Using Heterogeneous Teachers.

Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar

CoRR, 2024

2023

Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models.

Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan

CoRR, 2023

AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization.

Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration.

Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning.

Ethan Rathbun, Kaleel Mahmood, Sohaib Ahmad, Caiwen Ding, Marten van Dijk

CoRR, 2022

Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models.

Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood

CoRR, 2022

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

CoRR, 2022

Besting the Black-Box: Barrier Zones for Adversarial Example Defense.

Kaleel Mahmood, Phuong Ha Nguyen, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk

IEEE Access, 2022

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks.

Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk

IEEE Access, 2022

Inverting Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models.

Sohaib Ahmad, Kaleel Mahmood, Benjamin Fuller

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification.

Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples.

Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuoung Ha Nguyen

Entropy, 2021

On the Robustness of Vision Transformers to Adversarial Examples.

Kaleel Mahmood, Rigel Mahmood, Marten van Dijk

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples.

Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen

CoRR, 2020

2019

BUZz: BUffer Zones for defending adversarial examples in image classification.

Phuong Ha Nguyen, Kaleel Mahmood, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk

CoRR, 2019

2018

The Interpose PUF: Secure PUF Design against State-of-the-art Machine Learning Attacks.

Phuong Ha Nguyen, Durga Prasad Sahoo, Chenglu Jin, Kaleel Mahmood, Ulrich Rührmair, Marten van Dijk

IACR Cryptol. ePrint Arch., 2018

2017

MXPUF: Secure PUF Design against State-of-the-art Modeling Attacks.

Phuong Ha Nguyen, Durga Prasad Sahoo, Chenglu Jin, Kaleel Mahmood, Marten van Dijk

IACR Cryptol. ePrint Arch., 2017

2016

Moving target defense for Internet of Things using context aware code partitioning and code diversification.

Kaleel Mahmood, Devu Manikantan Shila

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

2014

On-Demand Asynchronous Localization for Underwater Sensor Networks.

Patrick Carroll, Kaleel Mahmood, Shengli Zhou, Hao Zhou, Xiaoka Xu, Jun-Hong Cui

IEEE Trans. Signal Process., 2014