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adversarial attacks 1content safety 1foundation models 1image moderation 1robustness evaluation 1

From the 1 of 18 linked papers with an AI index.

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20242026
most citedPredictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency

4 citations · 4 across the 9 of their papers we have counts for

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cs.LG2025

DP-GPL: Differentially Private Graph Prompt Learning

Jing Xu, Franziska Boenisch, Iyiola Emmanuel Olatunji +1

Graph Neural Networks (GNNs) have shown remarkable performance in various applications. Recently, graph prompt learning has emerged as a powerful GNN training paradigm, inspired by…

cs.LG2024

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

Vincent Hanke, Tom Blanchard, Franziska Boenisch +3

While open Large Language Models (LLMs) have made significant progress, they still fall short of matching the performance of their closed, proprietary counterparts, making the latt…