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adversarial-machine-learning

Here are 8 public repositories matching this topic...

jiep / offensive-ai-compilation

A curated list of useful resources that cover Offensive AI.

artificial-intelligence compilation adversarial-machine-learning ai-security offensive-ai

Updated May 12, 2024
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Machine_Learning_CTF_Challenges

alexdevassy / Machine_Learning_CTF_Challenges

CTF challenges designed and implemented in machine learning applications

machine-learning penetration-testing ctf offensive-security adversarial-machine-learning machine-learning-security large-language-models vulnerable-llm-application

Updated Mar 9, 2024
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alexklwong / targeted-adversarial-perturbations-monocular-depth

PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)

machine-learning computer-vision pytorch 3d-reconstruction 3d-vision adversarial-machine-learning adversarial-examples adversarial-attacks monocular-depth adversarial-perturbations monocular-depth-estimation neurips adversarial-robustness targeted-adversarial-attacks neurips-2020 monocular-depth-predictions

Updated Nov 15, 2022
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islab-ai / active-iccv2023

Paper ACTIVE-ICCV2023

demo object-detection adversarial-machine-learning adversarial-attacks

Updated Oct 27, 2023
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trustworthy-ml-course / trustworthy-ml-course.github.io

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.

adversarial-machine-learning explainable-artificial-intelligence robust-machine-learning privacy-preserving-machine-learning algorithmic-fairness fairness-ai algorithmic-transparency fairness-ml responsible-ai responsible-ml trustworthy-machine-learning trustworthy-ai

Updated May 10, 2024
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birhanu-eshete / birhanu-eshete.github.io

Birhanu Eshete is an Assistant Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).

adversarial-machine-learning ethical-artificial-intelligence privacy-preserving-machine-learning transparent-ml trustworthy-machine-learning fair-ml trustworthy-ai

Updated Dec 29, 2023
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FadiSYounis / Thesis

My now-completed academic thesis, lo and behold!

latex thesis cybersecurity honeypots adversarial-machine-learning

Updated Apr 12, 2021
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um-dsp / um-dsp.github.io

DSPLab@UMich-Dearborn Website

cybercrime adversarial-machine-learning cyber-threat-intelligence privacy-preserving-machine-learning advanced-persistent-threat trustworthy-machine-learning trustworthy-ai

Updated Dec 27, 2023
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