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08/19/2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Sparsely-gated Mixture of Expert (MoE), an emerging deep model architect...
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08/01/2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Recently, bi-level optimization (BLO) has taken center stage in some ver...
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03/29/2023
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
Despite the record-breaking performance in Text-to-Image (T2I) generatio...
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03/07/2023
Robustness-preserving Lifelong Learning via Dataset Condensation
Lifelong learning (LL) aims to improve a predictive model as the data so...
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03/04/2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Invariant risk minimization (IRM) has received increasing attention as a...
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11/21/2022
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
We revisit and advance visual prompting (VP), an input prompting techniq...
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10/08/2022
Advancing Model Pruning via Bi-level Optimization
The deployment constraints in practical applications necessitate the pru...
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06/13/2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Current deep neural networks (DNNs) are vulnerable to adversarial attack...
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05/24/2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
Trojan attacks threaten deep neural networks (DNNs) by poisoning them to...
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12/23/2021
