Deliang Fan

papers

410

total citations

papers (11)

TBT: Targeted Neural Network Attack With Bit Trojan

CVPR 2020arXiv

247

citations

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

CVPR 2022arXiv

citations

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training

NEURIPS 2023

citations

Closest Neighbors are Harmful for Lightweight Masked Auto-encoders

CVPR 2025

citations

Get More at Once: Alternating Sparse Training with Gradient Correction

NEURIPS 2022

citations

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

AAAI 2024

citations

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

CVPR 2020

citations

Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning

CVPR 2022

citations

Deliang Fan

papers (11)

TBT: Targeted Neural Network Attack With Bit Trojan

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer

KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning

Rep-Net: Efficient On-Device Learning via Feature Reprogramming

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training

Closest Neighbors are Harmful for Lightweight Masked Auto-encoders

Get More at Once: Alternating Sparse Training with Gradient Correction

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning

papers (11)

TBT: Targeted Neural Network Attack With Bit Trojan

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer

KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning

Rep-Net: Efficient On-Device Learning via Feature Reprogramming

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training

Closest Neighbors are Harmful for Lightweight Masked Auto-encoders

Get More at Once: Alternating Sparse Training with Gradient Correction

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning