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20212025
most citedLearning to Break Deep Perceptual Hashing: The Use Case NeuralHash

140 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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3 papers · 1 filter

cs.LG2025

Prompting Neural-Guided Equation Discovery Based on Residuals

Jannis Brugger, Viktor Pfanschilling, David Richter +2

Neural-guided equation discovery systems use a data set as prompt and predict an equation that describes the data set without extensive search. However, if the equation does not me…

cs.LG2023★ 2 cited

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Mattia Cerrato, Jannis Brugger +2

Peer learning is a novel high-level reinforcement learning framework for agents learning in groups. While standard reinforcement learning trains an individual agent in trial-and-er…

cs.LG2021★ 140 cited

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

Lukas Struppek, Dominik Hintersdorf, Daniel Neider +1

Apple recently revealed its deep perceptual hashing system NeuralHash to detect child sexual abuse material (CSAM) on user devices before files are uploaded to its iCloud service.…