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09/02/2023
Towards Code Watermarking with Dual-Channel Transformations
The expansion of the open source community and the rise of large languag...
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05/21/2023
Towards Tracing Code Provenance with Code Watermarking
Recent advances in large language models have raised wide concern in gen...
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04/16/2023
Shuffled Transformer for Privacy-Preserving Split Learning
In conventional split learning, training and testing data often face sev...
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04/03/2023
Crossword: A Semantic Approach to Data Compression via Masking
The traditional methods for data compression are typically based on the ...
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08/16/2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Automated Guided Vehicles (AGVs) have been widely used for material hand...
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06/24/2021
Privacy Threats Analysis to Secure Federated Learning
Federated learning is emerging as a machine learning technique that trai...
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04/30/2021
Improved Matrix Gaussian Mechanism for Differential Privacy
The wide deployment of machine learning in recent years gives rise to a ...
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04/29/2021
Privacy-Preserving Federated Learning on Partitioned Attributes
Real-world data is usually segmented by attributes and distributed acros...
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10/21/2020
A Distributional Robustness Certificate by Randomized Smoothing
The robustness of deep neural networks against adversarial example attac...
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10/09/2020
High-Order Relation Construction and Mining for Graph Matching
Graph matching pairs corresponding nodes across two or more graphs. The ...
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09/11/2020
Achieving Adversarial Robustness via Sparsity
Network pruning has been known to produce compact models without much ac...
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12/18/2019
Preventing Information Leakage with Neural Architecture Search
Powered by machine learning services in the cloud, numerous learning-dri...
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01/28/2019