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08/01/2023
Advancing Beyond Identification: Multi-bit Watermark for Language Models
This study aims to proactively tackle misuse of large language models be...
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05/03/2023
Robust Natural Language Watermarking through Invariant Features
Recent years have witnessed a proliferation of valuable original natural...
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04/29/2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
Recent advances in federated learning have demonstrated its promising ca...
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03/03/2022
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
Word-level adversarial attacks have shown success in NLP models, drastic...
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11/25/2021
Self-Distilled Self-Supervised Representation Learning
State-of-the-art frameworks in self-supervised learning have recently sh...
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10/07/2021
Self-Evolutionary Optimization for Pareto Front Learning
Multi-task learning (MTL), which aims to improve performance by learning...
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09/10/2021
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
With the growth of deep neural networks (DNN), the number of DNN paramet...
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10/20/2020
Asynchronous Edge Learning using Cloned Knowledge Distillation
With the increasing demand for more and more data, the federated learnin...
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09/09/2020
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective
To put a state-of-the-art neural network to practical use, it is necessa...
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05/22/2020
