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Adversarial Robustness

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평가표: 7
보존된 평가 기록: 33

Adversarial Robustness evaluates the vulnerabilities of machine learning models under various types of adversarial attacks.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1202kbs/Robustness-and-Interpretability

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Bridging Adversarial Robustness and Gradient Interpretability

https://github.com/7eu7d7/robustdet

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Adversarially-Aware Robust Object Detector

https://github.com/ALFA-group/adversarial-code-generation

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Generating Adversarial Computer Programs using Optimized Obfuscations

https://github.com/AkhilanB/Proper-Interpretability

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Proper Network Interpretability Helps Adversarial Robustness in Classification

https://github.com/AlignmentResearch/scaling-llm-robustness-paper

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Scaling Trends in Language Model Robustness

https://github.com/Atipico1/robust-rag

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Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models

https://github.com/Bai-Li/STN-Code

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Certified Adversarial Robustness with Additive Noise

https://github.com/Bai-YT/MixedNUTS

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MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers

https://github.com/BashivanLab/afd

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Adversarial Feature Desensitization

https://github.com/Bob-cheng/DepthModelHardening

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Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

https://github.com/BorealisAI/advertorch

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advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

https://github.com/BorealisAI/mma_training

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MMA Training: Direct Input Space Margin Maximization through Adversarial Training

https://github.com/BouriMohammed/GBM

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Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach

https://github.com/ByungKwanLee/Adversarial-Information-Bottleneck

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Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck

https://github.com/ByungKwanLee/Causal-Adversarial-Instruments

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Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression

https://github.com/ByungKwanLee/Double-Debiased-Adversary

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Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning

https://github.com/ByungKwanLee/Masking-Adversarial-Damage

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Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network

https://github.com/CCCjiang/CTRL

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An Embarrassingly Simple Backdoor Attack on Self-supervised Learning

https://github.com/CEA-LIST/adv-sat

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Optimal Transport as a Defense Against Adversarial Attacks

https://github.com/CMLI-NLP/HITL-GAT

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Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script

https://github.com/CN-TU/adversarial-recurrent-ids

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Explainability and Adversarial Robustness for RNNs

https://github.com/CVI-SZU/WaveCNet

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WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

https://github.com/ChaoMa93/Sobolev-Reg-of-SGD

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On Linear Stability of SGD and Input-Smoothness of Neural Networks

https://github.com/ChethanKodase/robustness_of_subgroups

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Adversarial Robustness of VAEs across Intersectional Subgroups

https://github.com/ColinQiyangLi/LConvNet

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Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks

https://github.com/Feng-Research/SPADE

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SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation

https://github.com/Feng-peng-Li/DAT

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DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

https://github.com/FlaAI/DUCAT

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New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes

https://github.com/FraunhoferIKS/distro

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Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection

https://github.com/Gnomeek/Long-term-Cross-Adversarial-Training

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Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks

https://github.com/GuanlinLee/FPD-for-Adversarial-Robustness

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Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder

https://github.com/HaimFisher/fingerprints-armor

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Neural Fingerprints for Adversarial Attack Detection

https://github.com/HamidBostani2021/robust-Android-malware-detector

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Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection

https://github.com/HanxunH/RobustWRN

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Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

https://github.com/IBM/Autozoom-Attack

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AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

https://github.com/IBM/SPROUT

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Self-Progressing Robust Training

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