Topic: adversarial-defense Goto Github
Some thing interesting about adversarial-defense
Some thing interesting about adversarial-defense
adversarial-defense,Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
Organization: adverml
Home Page: https://paperswithcode.com/paper/is-robustbench-autoattack-a-suitable#code
adversarial-defense,[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
Organization: ai-secure
adversarial-defense,:computer: :bulb: Bachelor's Thesis on Adversarial Machine Learning Attacks and Defences
User: aristipap
adversarial-defense,This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
User: as791
adversarial-defense,Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
User: bai-yt
Home Page: https://arxiv.org/abs/2301.12554
adversarial-defense,Adversarial Ranking Attack and Defense, ECCV, 2020.
User: cdluminate
Home Page: https://arxiv.org/abs/2002.11293
adversarial-defense,Enhancing Adversarial Robustness for Deep Metric Learning, CVPR, 2022
User: cdluminate
Home Page: https://arxiv.org/abs/2203.01439
adversarial-defense,Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024
User: cdluminate
Home Page: https://arxiv.org/abs/2106.03614
adversarial-defense,Metric Adversarial Attacks and Defense
Organization: cea-list
adversarial-defense,Sinkhorn Adversarial Training (SAT): Optimal Transport as a Defense Against Adversarial Attacks
Organization: cea-list
adversarial-defense,Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
User: chs20
adversarial-defense,GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Organization: cornell-zhang
adversarial-defense,This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructure --- Athena.
Organization: csce585-mlsystems
adversarial-defense,official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'
User: cuge1995
Home Page: https://arxiv.org/abs/2203.00302
adversarial-defense,Adversarial attacks on Deep Reinforcement Learning (RL)
User: davide97l
adversarial-defense,Code for the paper "Learning to Generate Noise for Multi-Attack Robustness" (ICML 2021)
User: divyam3897
adversarial-defense,Adversarial Distributional Training (NeurIPS 2020)
User: dongyp13
adversarial-defense,Learnable Boundary Guided Adversarial Training (ICCV2021)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2011.11164
adversarial-defense,[CIKM 2023] GUARD: Graph Universal Adversarial Defense
User: edisonleeeee
adversarial-defense,pytorch implementation of Parametric Noise Injection for adversarial defense
User: elliothe
adversarial-defense,CVPR 2022 Workshop Robust Classification
User: foreverps
adversarial-defense,Improving Adversarial Robustness of 3D Point Cloud Classification Models (ECCV2022)
User: guanlinlee
adversarial-defense,Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
User: hadisalman
Home Page: https://arxiv.org/abs/1906.04584
adversarial-defense,Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
User: harry24k
Home Page: https://arxiv.org/abs/2010.01799
adversarial-defense,Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
User: huanzhang12
Home Page: https://openreview.net/pdf?id=Skxuk1rFwB
adversarial-defense,Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)
User: jh-jeong
Home Page: https://arxiv.org/abs/2006.04062
adversarial-defense,Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
User: jh-jeong
Home Page: https://arxiv.org/abs/2111.09277
adversarial-defense,LSA : Layer Sustainability Analysis framework for the analysis of layer vulnerability in a given neural network. LSA can be a helpful toolkit to assess deep neural networks and to extend the adversarial training approaches towards improving the sustainability of model layers via layer monitoring and analysis.
User: khalooei
adversarial-defense,😎 A curated list of awesome real-world adversarial examples resources
User: lionelmessi6410
adversarial-defense,Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Organization: microsoft
Home Page: https://arxiv.org/abs/2003.01908
adversarial-defense,Implementation of Self-supervised-Online-Adversarial-Purification
Organization: mishne-lab
adversarial-defense,[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning
User: mkyucel
adversarial-defense,A list of awesome resources for adversarial attack and defense method in deep learning
User: nebula-beta
adversarial-defense,Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)
Organization: nthu-datalab
adversarial-defense,📕 Adversarial Attacks and Defenses for Image-Based Recommendation Systems using Deep Neural Networks.
User: philippnormann
adversarial-defense,[ECCV 2020] Pytorch codes for Open-set Adversarial Defense
User: rshaojimmy
adversarial-defense,Adversarial detection and defense for deep learning systems using robust feature alignment
User: safreita1
Home Page: https://www.scottfreitas.com/
adversarial-defense,Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
User: sayakpaul
adversarial-defense,Source Code for 'SECurity evaluation platform FOR Speaker Recognition' released in 'Defending against Audio Adversarial Examples on Speaker Recognition Systems'
User: sec4sr
adversarial-defense,Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
User: sukrutrao
Home Page: https://arxiv.org/abs/2005.02313
adversarial-defense,Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".
User: tangxianfeng
Home Page: https://arxiv.org/abs/1908.07558
adversarial-defense,A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
User: tao-bai
adversarial-defense,Must-read Papers on Textual Adversarial Attack and Defense
Organization: thunlp
adversarial-defense,[NeurIPS 2022] Random Normalization Aggregation for Adversarial Defense
User: uniserj
adversarial-defense,[CVPR 2023] Adversarial Robustness via Random Projection Filters
User: uniserj
adversarial-defense,auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Organization: verified-intelligence
Home Page: https://arxiv.org/pdf/2002.12920
adversarial-defense,Feature Separation and Recalibration (CVPR 2023 Highlights)
User: wkim97
adversarial-defense,Machine Learning Attack Series
User: wunderwuzzi23
adversarial-defense,[IEEE TIP 2021] Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
User: yonghaoxu
adversarial-defense,A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks
User: yudidong
Home Page: https://arxiv.org/abs/2103.02654
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