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Search results for adversarial attacks robustness
adversarial-attacks
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robustness
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41 search results found
Promptbench
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1,655
A unified evaluation framework for large language models
Advertorch
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1,283
A Toolbox for Adversarial Robustness Research
Natural Adv Examples
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559
A Harder ImageNet Test Set (CVPR 2021)
Photoguard
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431
Raising the Cost of Malicious AI-Powered Image Editing
Awesome Graph Attack Papers
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315
Adversarial attacks and defenses on Graph Neural Networks.
Adversarial Explainable Ai
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235
💡 Adversarial attacks on explanations and how to defend them
Tiger
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108
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
Free_adv_train
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95
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
S Attack
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85
[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".
Robnets
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73
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Face Robustness Benchmark
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63
An adversarial robustness evaluation library on face recognition.
Onlinelabelsmoothing
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45
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
Perceptual Advex
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39
Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
Me Net
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34
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Rsgnn
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32
An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
Popqorn
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29
An Algorithm to Quantify Robustness of Recurrent Neural Networks
Lbgat
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29
Learnable Boundary Guided Adversarial Training (ICCV2021)
Gia Hao
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29
[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Square Attack
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27
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
Gtrans
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25
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
Neural Ode Metasolver
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24
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
Triple Wins
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22
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
Diagnosere
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21
Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"
Emssl
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21
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Bert Probe
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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.
Vllm Safety Benchmark
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15
Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"
Contrastive Poisoning
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12
[ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Robust Principles
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12
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Simp Gcn
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12
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Nips 2018 Adversarial Vision Challenge
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10
Code, documents, and deployment configuration files, related to our participation in the 2018 NIPS Adversarial Vision Challenge "Robust Model Track"
Sa_dqn
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10
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
Verinet
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10
The VeriNet toolkit for verification of neural networks
Assuda
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10
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)
Heterobust
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9
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
Stereoscopic Universal Perturbations
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9
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Whoneedsadversaries
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8
Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
Adversarial Attack On 3d U Net Model Brain Tumour Segmentation.
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7
Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.
Sa_ppo
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6
[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
Composite Adv
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5
[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.
Solution For Aisafety Cvpr2022
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5
A Simple and Effective Solution For AISafety CVPR2022, ranked 5th
Cvpr22w_robustnessthroughthelens
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5
Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"
Related Searches
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1-41 of 41 search results
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