Implementation of Papers on Adversarial Examples
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Updated
Apr 24, 2023 - Python
Implementation of Papers on Adversarial Examples
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
Universal Adversarial Audio Perturbations
Differentiable Optimizers with Perturbations in Pytorch
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.
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
[ICLR'24] Official PyTorch Implementation of ContraLSP
[ICML'24] Official PyTorch Implementation of TimeX++
This is the enhanced version of Stadius Move on Thionville, the traffic info scraping bot for Citéline buses.
A Character-level Perturbation Generator based on probability distribution, density and diversity.
Scalable Expressiveness through Graph Perturbations
Adversarial Attack using a DCGAN
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