[NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong Chen*, Shupeng Gui, Ting-Kuei Hu, Ji Liu, and Zhangyang Wang
☆44Dec 30, 2021Updated 4 years ago
Alternatives and similar repositories for Once-for-All-Adversarial-Training
Users that are interested in Once-for-All-Adversarial-Training are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CVPR 2018 UG2 Challenge, Winner] BRIDGING THE GAP BETWEEN COMPUTATIONAL PHOTOGRAPHY AND VISUAL RECOGNITION☆12Dec 31, 2021Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Dec 17, 2022Updated 3 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Nov 5, 2020Updated 5 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Empirical tricks for training robust models (ICLR 2021)☆256May 25, 2023Updated 2 years ago
- ☆10Sep 25, 2019Updated 6 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- Detect adversarial images from intermediate features in distance space☆12Aug 22, 2018Updated 7 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Dec 16, 2019Updated 6 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Aug 22, 2023Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆29Dec 30, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- The official PyTorch Implementation of the Paper "Adversarial Visual Robustness by Causal Intervention"☆18Oct 6, 2021Updated 4 years ago
- ☆12Mar 15, 2019Updated 7 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆116Dec 30, 2021Updated 4 years ago
- Our simple but effective staircase sign method which boosts the transferability of both non-targeted and targeted attacks.☆19Jul 5, 2022Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Dec 30, 2021Updated 4 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Dec 30, 2021Updated 4 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Apr 1, 2020Updated 5 years ago
- ☆18Jun 15, 2019Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Unofficial implementation of the paper 'Adversarial Training for Free'☆23May 8, 2019Updated 6 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- Utility functions for weights and biases (wandb).☆11Sep 17, 2024Updated last year
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- ☆42Sep 9, 2023Updated 2 years ago
- Principal component analysis using a linear autoencoder☆16May 25, 2019Updated 6 years ago
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆26Feb 18, 2022Updated 4 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Feb 6, 2020Updated 6 years ago
- An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks☆14Oct 22, 2021Updated 4 years ago
- The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".☆10May 30, 2019Updated 6 years ago
- Implementation of Contrastive Learning with Adversarial Examples☆29Jan 11, 2021Updated 5 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Jul 20, 2022Updated 3 years ago
- Code for AutoNL on ImageNet (CVPR2020)☆104May 16, 2020Updated 5 years ago
- The implementation of GOLD_NAS☆24Feb 17, 2025Updated last year