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Monash University
- Australia
- https://tuananhbui89.github.io/
Highlights
- Pro
Stars
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Existing Literature about Machine Unlearning
NeurIPS 2024 - Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
A curated list of trustworthy deep learning papers. Daily updating...
Python package for scraping real estate property data
"In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Generating PGD adversarial examples for ImageNet Pretrained Model such as ResNet50
Personal list of researchers or groups in the field of Adversarial Machine Learning
Source code for Twitter's Recommendation Algorithm
Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
Generate a list of publications in Markdown (e.g., publishing to a personal website) from Bibtex file
Pytorch friendly implementation of minimum norm solvers
Measuring the diversity of an ensemble of multiple classifiers
Tensorflow implementation of the AAAI-21 paper "Improving Ensemble Robustness by Collaboratively Promoting and Demoting Robustness"
Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)
The implementation for the paper "Adversarial Supervised Contrastive Learning"
tuananhbui89 / selfstudy-adversarial-robustness
Forked from google-research/selfstudy-adversarial-robustnessPytorch implementation for the ICLR 2022 paper