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12/31/2022
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Reinforcement learning (RL) is one of the most important branches of AI....
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03/13/2022
One Parameter Defense – Defending against Data Inference Attacks via Differential Privacy
Machine learning models are vulnerable to data inference attacks, such a...
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03/13/2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
Transfer learning is an important approach that produces pre-trained tea...
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03/13/2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information
In a model inversion attack, an adversary attempts to reconstruct the da...
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03/12/2021
DP-Image: Differential Privacy for Image Data in Feature Space
The excessive use of images in social networks, government databases, an...
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11/07/2020
Differential Advising in Multi-Agent Reinforcement Learning
Agent advising is one of the main approaches to improve agent learning p...
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08/16/2020
Differentially Private Multi-Agent Planning for Logistic-like Problems
Planning is one of the main approaches used to improve agents' working e...
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08/13/2020
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries
Cyber deception is one of the key approaches used to mislead attackers b...
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08/05/2020