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19 search results found

Taadpapers ⭐ 1,413

Must-read Papers on Textual Adversarial Attack and Defense

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Awesome Computer Vision ⭐ 186

Awesome Resources for Advanced Computer Vision Topics

Defensegan ⭐ 164

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Yopo You Only Propagate Once ⭐ 148

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Sememepso Attack ⭐ 58

Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"

Rs Adversarial Learning ⭐ 52

A curated collection of adversarial attack and defense on recommender systems.

Fooling Lime Shap ⭐ 47

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Procedural Advml ⭐ 40

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Acl18_results ⭐ 30

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

Square Attack ⭐ 27

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Dataaug4code ⭐ 27

Source Code Data Augmentation for Deep Learning: A Survey.

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

Simp Gcn ⭐ 12

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Cool Papers In Pytorch ⭐ 12

Reimplementing cool papers in PyTorch...

Under_convnet ⭐ 10

Caffe code for the paper "Adversarial Manipulation of Deep Representations"

Snn Adversarial Attacks ⭐ 9

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters

Whoneedsadversaries ⭐ 8

Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".

Robustadversarialnetwork ⭐ 7

A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"

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