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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
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Workshop
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Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
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Workshop
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On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
Ching-Yun (Irene) Ko · Pin-Yu Chen · Payel Das · Yung-Sung Chuang · Luca Daniel
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Workshop
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On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
Ching-Yun (Irene) Ko · Pin-Yu Chen · Payel Das · Yung-Sung Chuang · Luca Daniel
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Workshop
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PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Kun He · Xin Liu · Yichen Yang · Zhou Qin · Weigao Wen · Hui Xue' · John Hopcroft
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Workshop
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Model-tuning Via Prompts Makes NLP Models Adversarially Robust
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Workshop
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Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium
Pavel Dvurechenskii · Jia-Jie Zhu
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Workshop
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CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models
Lorenz Kuhn · Yarin Gal · Sebastian Farquhar
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Workshop
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Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Cosmin Bercea · Michael Neumayr · Daniel Rueckert · Julia Schnabel
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Workshop
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Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
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Workshop
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Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Suraj Srinivas · Sebastian Bordt · Himabindu Lakkaraju
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
Hossein Mirzaei · Mohammad Jafari · Hamid Reza Dehbashi · Ali Ansari · Sepehr Ghobadi · Masoud Hadi · Arshia Soltani Moakhar · Mohammad Azizmalayeri · Mahdieh Soleymani Baghshah · Mohammad H Rohban
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