[ICML'24] Official PyTorch Implementation of TimeX++
DeepDefend is an open-source Python library for adversarial attacks and defenses in deep learning models, enhancing the security and robustness of AI systems.
Scalable Expressiveness through Preprocessed Graph Perturbations (CIKM 2024)
[ICLR'24] Official PyTorch Implementation of ContraLSP
A Character-level Perturbation Generator based on probability distribution, density and diversity.
This is the enhanced version of Stadius Move on Thionville, the traffic info scraping bot for Citéline buses.
Implementation of Papers on Adversarial Examples
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
Differentiable Optimizers with Perturbations in Pytorch
Universal Adversarial Audio Perturbations
Adversarial Attack using a DCGAN
[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
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