School AI semester project
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Updated
Nov 14, 2024 - Python
School AI semester project
Attacks and Defenses via Image perturbations
A Toolbox for Adversarial Robustness Research
Implementation of Papers on Adversarial Examples
[CIKM 2022] Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection (PyTorch)
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing (ACL 2022)
PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)
Repository for final project of Data Mining Course
Course Project for EE782. IIT Bombay, Autumn 2019
Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5b7SNrbLUfdLVo5-WK5mLJh
Pytorch implementation of https://github.com/val-iisc/nag
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