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290 search results found

Attack Adaptive Aggregation In Federated Learning ⭐ 36

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Pros Gan ⭐ 33

[CVPR 2021] Official repository for "Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing"

Provably Robust Boosting ⭐ 32

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

Wacv 2024 Papers ⭐ 32

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))

TAFIM: Targeted Adversarial Attacks against Facial Image Manipulation (ECCV 2022)

Framework for Adversarial Malware Evaluation.

Acl18_results ⭐ 30

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

Generalized Data-free Universal Adversarial Perturbations

Vibraniumdome ⭐ 29

The world's first open source LLM Applications Firewall.

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Learnable Boundary Guided Adversarial Training (ICCV2021)

Audio Deepfake Adversarial Attacks ⭐ 29

Implementation of "Defense against Adversarial Attacks on Audio DeepFake Detection"

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

Ijcnn19attacks ⭐ 29

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Attacking Speaker Recognition with Deep Generative Models

Cyber Threat Profiling ⭐ 28

A library of reference materials, tools, and other resources to aid threat profiling, threat quantification, and cyber adversary defense

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.

Rl Policies Attacks Defenses ⭐ 26

Adversarial attacks on Deep Reinforcement Learning (RL)

Advanced Gradient Obfuscating ⭐ 25

Take further steps in the arms race of adversarial examples with only preprocessing.

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

Gans In Action ⭐ 24

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Well Classified Examples Are Underestimated ⭐ 24

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Neural Ode Metasolver ⭐ 24

Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Triple Wins ⭐ 22

[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“

[ECCV2020] Robust Tracking against Adversarial Attacks

Gnnguard ⭐ 22

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Source Code for 'SECurity evaluation platform FOR Speaker Recognition' released in 'Defending against Audio Adversarial Examples on Speaker Recognition Systems'

Code for "Adversarial attack by dropping information." (ICCV 2021)

Sparse Rs ⭐ 21

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Style Atk ⭐ 21

Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Diagnosere ⭐ 21

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Geometric_adv ⭐ 21

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Catastrophic Overfitting ⭐ 20

Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]

Speakerguard ⭐ 20

a Pytorch library for security research on speaker recognition, released in "Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition" accepted by TDSC

Adversarial Point Perturbations On 3d Objects ⭐ 19

New distributional and shape attacks on neural networks that process 3D point cloud data.

Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614

Code Soup ⭐ 18

This is a collection of algorithms and approaches used in the book adversarial deep learning

Torchattack ⭐ 18

🛡 A set of adversarial attacks in PyTorch

Discreteblockbayesattack ⭐ 18

Official PyTorch implementation of "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" (ICML'22)

Fab Attack ⭐ 18

Code for FAB-attack

Adv Part Model ⭐ 18

Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)

Adversarial Ranking Attack and Defense, ECCV, 2020.

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks

Ga Attack ⭐ 16

SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.

A PyTorch implementation of the ACM SIGKDD 2021 paper titled "PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models"

Domain Shift Robustness ⭐ 16

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Official implementation of CVPR2020 Paper "Cooling-Shrinking Attack"

Bert Probe ⭐ 16

BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipes of implicit and explicit defenses against character-level attacks.

Mesh Attack ⭐ 16

our code for paper '3D Adversarial Attacks Beyond Point Cloud '

Zoo_attack_pytorch ⭐ 16

This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

Vllm Safety Benchmark ⭐ 15

Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"

Composite Adv ⭐ 15

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

Natural Color Fool ⭐ 15

This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](https://arxiv.org/abs/2210.02041).

Attack Imagenet ⭐ 15

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback

Fgsm Pytorch ⭐ 15

A pytorch implementation of "Explaining and harnessing adversarial examples"

Augmented_lagrangian_adversarial_attacks ⭐ 14

Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"

Contranet ⭐ 14

This is the official implementation of ContraNet (NDSS2022).

Chainer Adversarial Examples ⭐ 14

Adversarial attack methods, FGSM and TGSM, implemented in Chainer

Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023]

Transfer_attack_rap ⭐ 14

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)

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

Mcs2018_solution ⭐ 14

Watchtower ⭐ 14

AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️

Segmentandcomplete ⭐ 14

Official implementation of Segmentation and Complete (SAC) defense.

[ECCV 2022 Oral] Source code for "A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow"

Mdattack ⭐ 13

Textattack Search Benchmark ⭐ 13

EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples

Treeverification ⭐ 13

[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)

Pgd Pytorch ⭐ 13

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

Adversarial Ml 101 ⭐ 13

A beginner friendly repository for getting started with adversarial machine learning in PyTorch

Official Source Code of the paper "Exploring Effective Data for Surrogate Training Towards Black-box Attack", which is accepted by CVPR 2022

Codebase for the ACL 2023 paper: White-Box Multi-Objective Adversarial Attack on Dialogue Generation.

Simp Gcn ⭐ 12

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

Bert Adv Embed ⭐ 12

Adversarial perturbations on word embeddings of BERT

Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples

Contrastive Poisoning ⭐ 12

[ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning

Adverserial_attack ⭐ 12

Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset

Cool Papers In Pytorch ⭐ 12

Reimplementing cool papers in PyTorch...

Adv Reid ⭐ 12

Metric Adversarial Attacks and Defense

Robustbnns ⭐ 12

Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

Robust Principles ⭐ 12

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Face Adversarial Attack ⭐ 12

An easy approach for the competition "Facial Adversary Examples" in TIANCHI

Fooling_network_interpretation ⭐ 12

Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification

Sparse Imperceivable Attacks ⭐ 12

Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

Tree Ensemble Attack ⭐ 11

[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"

3d Neural Network Adversarial Attacks ⭐ 11

Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.

Leveraging Adversarial Examples To Quantify Membership Information Leakage ⭐ 11

Adversarial_attacks_and_defense_neurips2022 ⭐ 11

A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.

Uap_attack_on_quality_metrics ⭐ 11

Universal Perturbation Attack on differentiable no-reference image- and video-quality metrics

3d_adversarial_logo ⭐ 11

[Preprint] "Can 3D Adversarial Logos Cloak Humans?"

Query Attack ⭐ 11

A Query Efficient Natural Language Attack in a Black Box Setting

Bev Attack ⭐ 10

[TMLR'24] On the Adversarial Robustness of Camera-based 3D Object Detection

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