Rediscovering Reinforcement Learning
The initial development of modern RL was purely exploratory; projects at UMass critically depended on basic research support from AFOSR and NSF.
Characterizing Cryptocurrency-Themed Malicious Browser Extensions
This work characterizes cryptocurrency-themed malicious extensions and encourages extension store operators to enact dedicated countermeasures.
The likelihood of AI serving as an omnipotent, truth-saying oracle soon is not great.
Shields for Safe Reinforcement Learning
Shielding is a principled and effective approach to ensuring the safety of reinforcement learning, even during training.
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The special section offers a snapshot of the region’s momentum, featuring a diverse set of contributions that blend technical rigor with societal impact.
As Good as a Coin Toss: Human Detection of AI-Generated Content
There’s a critical need for alternative countermeasures to more effectively combat the potential and realized harms arising from synthetic media misuse.
A historical perspective on tackling new cyber challenges and securing the future of the computing infrastructure.
Characterizing Cryptocurrency-Themed Malicious Browser Extensions
This work characterizes cryptocurrency-themed malicious extensions and encourages extension store operators to enact dedicated countermeasures.
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