Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis

24 February 2021

Papers citing "Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis"

4 / 4 papers shown

Title
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 63 3 0 18 May 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space Leo Schwinn David Dobre Sophie Xhonneux Gauthier Gidel Stephan Gunnemann AAML 51 38 0 14 Feb 2024
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 14 60 0 21 May 2021
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 161 85 0 21 Mar 2020