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05/19/2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Large Language Models (LLMs) are known to memorize significant portions ...
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11/29/2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Federated Learning (FL) is a distributed machine learning protocol that ...
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06/03/2021
BiFair: Training Fair Models with Bilevel Optimization
Prior studies have shown that, training machine learning models via empi...
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10/14/2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
Federated Learning (FL) is a distributed, and decentralized machine lear...
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10/14/2020
Improving Accuracy of Federated Learning in Non-IID Settings
Federated Learning (FL) is a decentralized machine learning protocol tha...
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08/10/2020
Secure IoT Data Analytics in Cloud via Intel SGX
The growing adoption of IoT devices in our daily life is engendering a d...
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07/07/2020
Defending Against Backdoors in Federated Learning with Robust Learning Rate
Federated Learning (FL) allows a set of agents to collaboratively train ...
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01/13/2020
Leveraging Blockchain for Immutable Logging and Querying Across Multiple Sites
Blockchain has emerged as a decentralized and distributed framework that...
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01/08/2020