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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
Dhruv Pai · Andres Carranza · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo
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Workshop
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Semantically Adversarial Scene Generation with Explicit Knowledge Guidance for Autonomous Driving
Wenhao Ding · Haohong Lin · Bo Li · Ding Zhao
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo
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Workshop
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Black Box Adversarial Prompting for Foundation Models
Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner
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Workshop
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Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models
Francesco Croce · Naman Singh · Matthias Hein
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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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Workshop
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Regularizing Adversarial Imitation Learning Using Causal Invariance
Ivan Ovinnikov · Joachim Buhmann
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Workshop
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Fri 19:00
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Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training
Youjia Zhou · Yi Zhou · Jie Ding · Bei Wang
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Workshop
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Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
Cornelius Emde · Francesco Pinto · Thomas Lukasiewicz · Phil Torr · Adel Bibi
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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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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
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Workshop
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Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
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