MACER: MAximizing CErtified Radius (ICLR 2020)
☆31Jan 5, 2020Updated 6 years ago
Alternatives and similar repositories for macer
Users that are interested in macer are comparing it to the libraries listed below
Sorting:
- ☆10Oct 31, 2022Updated 3 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool☆22Jul 15, 2019Updated 6 years ago
- This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Secur…☆11Aug 24, 2022Updated 3 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 3 years ago
- Provable adversarial robustness at ImageNet scale☆406May 20, 2019Updated 6 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Apr 29, 2020Updated 5 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆14Jul 16, 2021Updated 4 years ago
- Repository for the COLM 2025 paper SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths☆15Jul 10, 2025Updated 7 months ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Nov 9, 2019Updated 6 years ago
- Convexified Convolutional Neural Networks☆15Dec 13, 2016Updated 9 years ago
- ☆13Oct 21, 2021Updated 4 years ago
- Princeton University Ph.D. Dissertation Template☆18Apr 9, 2017Updated 8 years ago
- ☆19Mar 26, 2022Updated 3 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Aug 8, 2019Updated 6 years ago
- Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".☆16May 6, 2020Updated 5 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38May 31, 2022Updated 3 years ago
- Project page: https://jespark.net/projects/2024/community_forensics/☆30Jan 6, 2026Updated 2 months ago
- ☆19Jun 5, 2023Updated 2 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Jul 20, 2021Updated 4 years ago
- Implementation of TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (https://arxiv.org/pdf/190…☆19Apr 13, 2023Updated 2 years ago
- ☆42Sep 9, 2023Updated 2 years ago
- Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.☆17Aug 22, 2022Updated 3 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25May 2, 2023Updated 2 years ago
- ☆20May 6, 2022Updated 3 years ago
- ☆21Oct 25, 2023Updated 2 years ago
- Getting Starting with NIMBUS-CORE☆10Dec 16, 2023Updated 2 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Dec 11, 2020Updated 5 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated last year
- A novel data-free model stealing method based on GAN☆133Oct 11, 2022Updated 3 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- Code and data for paper "Can Watermarked LLMs be Identified by Users via Crafted Prompts?" Accepted by ICLR 2025 (Spotlight)☆28Dec 28, 2024Updated last year
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Jul 23, 2020Updated 5 years ago
- ☆23Aug 24, 2020Updated 5 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated last year
- ☆26Jan 13, 2020Updated 6 years ago
- ☆64Jan 6, 2022Updated 4 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Jan 30, 2020Updated 6 years ago
- ☆21Jun 10, 2020Updated 5 years ago