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Workshop
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Regularizing Model Gradients with Concepts to Improve Robustness to Spurious Correlations
Yiwei Yang · Anthony Liu · Robert Wolfe · Aylin Caliskan · Bill Howe
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Workshop
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Scoring Black-Box Models for Adversarial Robustness
Jian Vora · Pranay Reddy Samala
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Poster
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Wed 17:00
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Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis · Mario Lino · Shunlong Hu · Stef Garasto · Chris Cantwell · Anil Bharath
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Workshop
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Are Visual Recognition Models Robust to Image Compression?
João Maria Janeiro · Stanislav Frolov · Alaaeldin El-Nouby · Jakob Verbeek
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Workshop
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Fri 18:20
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Robustness Verification for Perception Models against Camera Motion Perturbations
Hanjiang Hu · Changliu Liu · Ding Zhao
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Workshop
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PIAT: Parameter Interpolation based Adversarial Training for Image Classification
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Workshop
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Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy
Ioana Ciuca · Yuan-Sen Ting · Sandor Kruk · Kartheik Iyer
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Workshop
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Establishing a Benchmark for Adversarial Robustness of Compressed Deep Learning Models after Pruning
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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
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Workshop
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Localizing Partial Model for Personalized Federated Learning
Heewon Park · Miru Kim · Minhae Kwon
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Poster
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Thu 16:30
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Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
Zonghan Yang · Peng Li · Tianyu Pang · Yang Liu
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Poster
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Thu 13:30
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How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
Raphaël Olivier · Bhiksha Raj
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