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Workshop
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Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
Usha Bhalla · Suraj Srinivas · Himabindu Lakkaraju
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Workshop
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Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
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Workshop
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Why do universal adversarial attacks work on large language models?: Geometry might be the answer
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Workshop
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Deceptive Alignment Monitoring
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Workshop
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Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
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Workshop
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Don't trust your eyes: on the (un)reliability of feature visualizations
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Workshop
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A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning
Haoran Zhang · Qixuan Jin · Thomas Hartvigsen · Miriam Udler · Marzyeh Ghassemi
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Workshop
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Implicit Interpretation of Importance Weight Aware Updates
Keyi Chen · Francesco Orabona
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Workshop
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Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Maya Okawa · Ekdeep Singh Lubana · Robert Dick · Hidenori Tanaka
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Workshop
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Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
Hubert Baniecki · Przemyslaw Biecek
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Workshop
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SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text
Charumathi Badrinath · Weiwei Pan · Finale Doshi-Velez
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