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1412.1897
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Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Computer Vision and Pattern Recognition (CVPR), 2014
5 December 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
Re-assign community
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
Spatial-frequency channels, shape bias, and adversarial robustness
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209
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06 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
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Robust Point Cloud Processing through Positional Embedding
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Image Hijacks: Adversarial Images can Control Generative Models at Runtime
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Euan Ong
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366
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177
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Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
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128
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CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
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RankMixup: Ranking-Based Mixup Training for Network Calibration
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Hyekang Park
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206
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176
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From Global to Local: Multi-scale Out-of-distribution Detection
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152
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261
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347
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156
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Marwane Hariat
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Andrei Bursuc
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300
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Doubly Robust Instance-Reweighted Adversarial Training
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Sen-Fon Lin
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309
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GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
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Sima Behpour
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311
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01 Aug 2023
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276
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Confidence Estimation Using Unlabeled Data
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388
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07 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice?
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Neha Gupta
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180
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Reliable AI: Does the Next Generation Require Quantum Computing?
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185
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Morse Neural Networks for Uncertainty Quantification
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Huiyi Hu
Jie Jessie Ren
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160
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Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
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Jiebao Sun
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Zhichang Guo
Wangmeng Zuo
215
8
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28 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
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Hong Joo Lee
Yonghyun Ro
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164
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A Cosine Similarity-based Method for Out-of-Distribution Detection
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87
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23 Jun 2023
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141
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Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
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218
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Learn to Accumulate Evidence from All Training Samples: Theory and Practice
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240
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Collapsed Inference for Bayesian Deep Learning
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353
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Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Neural Information Processing Systems (NeurIPS), 2023
Thomas Fel
Thibaut Boissin
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331
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294
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Open Set Relation Extraction via Unknown-Aware Training
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Adversarial Sample Detection Through Neural Network Transport Dynamics
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178
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