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08/28/2023
Adversarial Attacks on Foundational Vision Models
Rapid progress is being made in developing large, pretrained, task-agnos...
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03/30/2023
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection
Machine learning models deployed in the open world may encounter observa...
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03/25/2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Building up reliable Out-of-Distribution (OOD) detectors is challenging,...
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03/20/2023
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition
In real-world scenarios, it may not always be possible to collect hundre...
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09/09/2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Machine learning methods must be trusted to make appropriate decisions i...
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08/23/2022
Self-Trained Proposal Networks for the Open World
Deep learning-based object proposal methods have enabled significant adv...
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07/02/2021
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
In this paper, we introduce the first Challenge on Multi-modal Aerial Vi...
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06/07/2021
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure
Enabling out-of-distribution (OOD) detection for DNNs is critical for th...
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03/17/2021
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
We design blackbox transfer-based targeted adversarial attacks for an en...
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03/17/2021
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks
Over recent years, a myriad of novel convolutional network architectures...
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09/30/2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Recent research finds CNN models for image classification demonstrate ov...
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04/29/2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
We consider the blackbox transfer-based targeted adversarial attack thre...
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04/27/2020
Transferable Perturbations of Deep Feature Distributions
Almost all current adversarial attacks of CNN classifiers rely on inform...
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11/28/2018