Adversarial Machine Learning towards Advanced Vision Systems (AMLAVS)

Enhancing Federated Learning Robustness Through clustering Non-IID Features

Yanli Li,

Abubakar Sadiq Sani,

Dong Yuan,

Wei Bao

[pdf]

[bibtex]

@InProceedings{Li_2022_ACCV, author = {Li, Yanli and Sani, Abubakar Sadiq and Yuan, Dong and Bao, Wei}, title = {Enhancing Federated Learning Robustness Through clustering Non-IID Features}, booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops}, month = {December}, year = {2022}, pages = {41-55} }

Towards Improving the Anti-attack Capability of the RangeNet++

Qingguo Zhou,

Ming Lei,

Peng Zhi,

Rui Zhao,

Jun Shen,

Binbin Yong

[pdf]

[bibtex]

@InProceedings{Zhou_2022_ACCV, author = {Zhou, Qingguo and Lei, Ming and Zhi, Peng and Zhao, Rui and Shen, Jun and Yong, Binbin}, title = {Towards Improving the Anti-attack Capability of the RangeNet++}, booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops}, month = {December}, year = {2022}, pages = {56-67} }

ADVFilter: Adversarial Example Generated by Perturbing Optical Path

Lili Zhang,

Xiaodong Wang

[pdf] [code]

[bibtex]

@InProceedings{Zhang_2022_ACCV, author = {Zhang, Lili and Wang, Xiaodong}, title = {ADVFilter: Adversarial Example Generated by Perturbing Optical Path}, booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops}, month = {December}, year = {2022}, pages = {29-40} }