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07/23/2023
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems
Along with the fast evolution of deep neural networks, the hardware syst...
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06/13/2023
Temporal Gradient Inversion Attacks with Robust Optimization
Federated Learning (FL) has emerged as a promising approach for collabor...
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02/15/2023
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
Cross-silo federated learning (FL) is a typical FL that enables organiza...
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05/26/2022
On Collective Robustness of Bagging Against Data Poisoning
Bootstrap aggregating (bagging) is an effective ensemble protocol, which...
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03/24/2022
GraphCoCo: Graph Complementary Contrastive Learning
Graph Contrastive Learning (GCL) has shown promising performance in grap...
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11/27/2020
Association: Remind Your GAN not to Forget
Neural networks are susceptible to catastrophic forgetting. They fail to...
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11/11/2020
Generative and Discriminative Learning for Distorted Image Restoration
Liquify is a common technique for image editing, which can be used for i...
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09/18/2020
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Neural network classifiers are vulnerable to data poisoning attacks, as ...
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03/12/2018