zhangbinchi

Ph.D. student @ University of Virginia, working on Trustworthy ML, Graph Mining, and Machine Unlearning.

Charlottesville, VA

Pinned Repositories

G-FairAttack
Open-source code for "Adversarial Attacks on Fairness of Graph Neural Networks" (ICLR 2024).
Language:Python91
unlearning-verification-is-fragile
Open-source code for "Verification of Machine Unlearning is Fragile" (ICML 2024).
Language:Python20
certified-deep-unlearning
Open-source code for "Towards Certified Unlearning for Deep Neural Networks" (ICML 2024).
Language:Python10
CAGNET
Language:Python00
hello-world
the first step on using github
00
zhangbinchi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Language:JavaScript00

zhangbinchi/zhangbinchi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Language:JavaScript
zhangbinchi/G-FairAttack
Open-source code for "Adversarial Attacks on Fairness of Graph Neural Networks" (ICLR 2024).
Language:Python91
zhangbinchi/certified-deep-unlearning
Open-source code for "Towards Certified Unlearning for Deep Neural Networks" (ICML 2024).
Language:Python1
zhangbinchi/unlearning-verification-is-fragile
Open-source code for "Verification of Machine Unlearning is Fragile" (ICML 2024).
Language:Python2
zhangbinchi/CAGNET
zhangbinchi/hello-world
the first step on using github