IGITUGraz / SparseAdversarialTrainingLinks
Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]
☆10Updated 3 years ago
Alternatives and similar repositories for SparseAdversarialTraining
Users that are interested in SparseAdversarialTraining are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 3 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆92Updated 2 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated last year
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆24Updated last month
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆15Updated 3 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Updated 3 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆12Updated 4 years ago
- ☆13Updated 5 years ago
- [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles☆56Updated 3 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆19Updated 4 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆39Updated 3 years ago
- This is the official implementation of NNSplitter (ICML'23)☆11Updated last year
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Updated 5 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆45Updated 5 years ago
- ConvexPolytopePosioning☆35Updated 5 years ago
- A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"☆19Updated 6 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆36Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 5 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Updated 2 years ago
- ☆11Updated 2 years ago
- ☆41Updated last year
- Code for the paper titled "Adversarial Vulnerability of Randomized Ensembles" (ICML 2022).☆10Updated 3 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- ☆58Updated 2 years ago
- Pytorch implementation of NPAttack☆12Updated 5 years ago
- ☆24Updated 2 years ago
- ☆19Updated 3 years ago