hukkai / liresnetLinks
[NeurIPS 2023] and [ICLR 2024] for robustness certification.
☆10Updated 11 months ago
Alternatives and similar repositories for liresnet
Users that are interested in liresnet are comparing it to the libraries listed below
Sorting:
- A simple and efficient baseline for data attribution☆11Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆34Updated last year
- ☆34Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆20Updated 2 years ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆113Updated last year
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
- ☆21Updated 2 years ago
- ☆14Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆32Updated last year
- Pytorch ImageNet1k Loader with Bounding Boxes.☆13Updated 3 years ago
- ☆71Updated 10 months ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated 2 years ago
- ☆58Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- ☆53Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- What do we learn from inverting CLIP models?☆55Updated last year
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆25Updated last year
- [TMLR 2025] On Memorization in Diffusion Models☆27Updated 2 years ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Updated 2 years ago