v1v2v3v4 (latest)

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Computer Vision and Pattern Recognition (CVPR), 2014

5 December 2014

Jeff Clune

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

50 / 1,455 papers shown

Title
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 283 5 0 24 Apr 2024
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection Michael Kösel M. Schreiber Michael Ulrich Claudius Gläser Klaus C. J. Dietmayer OODD 3DPC 198 7 0 24 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 293 17 0 19 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier Nicolas Audebert 210 11 0 19 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 160 2 0 19 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 295 10 0 18 Apr 2024
Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning S. Tam S. T. P. Raghu Étienne Buteau Erik J. Scheme Mounir Boukadoum Alexandre Campeau-Lecours Benoit Gosselin 92 5 0 17 Apr 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya Pershin Danis Alukaev UQCV EDL 221 1 0 16 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions B. Bosanský Lada Hospodkova Michal Najman M. Rigaki E. Babayeva Viliam Lisý AAML 133 2 0 14 Apr 2024
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution DetectionInternational Conference on Language Resources and Evaluation (LREC), 2024 Li-Ming Zhan Bo Liu Xiao-Ming Wu 186 0 0 09 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? Van Nguyen Xingliang Yuan Tingmin Wu Surya Nepal M. Grobler Carsten Rudolph 201 2 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 289 14 0 08 Apr 2024
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods Roopkatha Dey Aivy Debnath Sayak Kumar Dutta Kaustav Ghosh Arijit Mitra Arghya Roy Chowdhury Jaydip Sen AAML SILM 162 3 0 08 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2024 Tianqi Li Guansong Pang Xiaolong Bai Wenjun Miao Jingyi Zheng VLM 245 40 0 04 Apr 2024
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models M. Pennisi Giovanni Bellitto S. Palazzo Mubarak Shah C. Spampinato DiffM 186 1 0 03 Apr 2024
Deep Learning with Parametric Lenses Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi 140 3 0 30 Mar 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models Yanting Wang Hongye Fu Wei Zou Jinyuan Jia AAML 354 4 0 28 Mar 2024
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection Changshun Wu Weicheng He Chih-Hong Cheng Xiaowei Huang Saddek Bensalem 195 5 0 27 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini 184 3 0 22 Mar 2024
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques Laura O'Mahony David JP O'Sullivan Nikola S. Nikolov 152 1 0 21 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion Jiawei Li Sitong Li Shanshan Wang Yicheng Zeng Falong Tan Chuanlong Xie OODD 177 1 0 16 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 211 1 0 16 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 317 1 0 15 Mar 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal PoolingsAAAI Conference on Artificial Intelligence (AAAI), 2024 Jihyeon Seong Jungmin Kim Jaesik Choi AI4TS 182 1 0 14 Mar 2024
V-PRISM: Probabilistic Mapping of Unknown Tabletop ScenesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Herbert Wright Weiming Zhi Matthew Johnson-Roberson Tucker Hermans 237 10 0 12 Mar 2024
Open-World Semantic Segmentation Including Class SimilarityComputer Vision and Pattern Recognition (CVPR), 2024 Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 198 17 0 12 Mar 2024
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks Max Sponner Lorenzo Servadei Bernd Waschneck Robert Wille Akash Kumar 101 2 0 12 Mar 2024
Mapping High-level Semantic Regions in Indoor Environments without Object RecognitionIEEE International Conference on Robotics and Automation (ICRA), 2024 Roberto Bigazzi Lorenzo Baraldi Shreyas Kousik Rita Cucchiara Marco Pavone 146 5 0 11 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 192 5 0 11 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 208 1 0 06 Mar 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 162 2 0 04 Mar 2024
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection Sam Dauncey Chris Holmes Christopher Williams Fabian Falck 337 1 0 03 Mar 2024
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging Jennie Karlsson Marisa Wodrich Niels Christian Overgaard Freja Sahlin Kristina Laang Anders Heyden Ida Arvidsson 131 0 0 29 Feb 2024
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance Indu Panigrahi Richard Zhu 155 1 0 28 Feb 2024
Measuring Vision-Language STEM Skills of Neural Models Jianhao Shen Ye Yuan Srbuhi Mirzoyan Ming Zhang Chenguang Wang VLM 394 13 0 27 Feb 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation Pau de Jorge Riccardo Volpi P. Dokania Juil Sock Grégory Rogez DiffM 360 9 0 26 Feb 2024
GiMeFive: Towards Interpretable Facial Emotion Classification Jiawen Wang Leah Kawka FAtt CVBM 138 2 0 24 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 166 3 0 20 Feb 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection Genki Osada Tsubasa Takahashi Takashi Nishide OODD 152 3 0 16 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 354 4 0 15 Feb 2024
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration Jiexin Wang Jiahao Chen Fuchun Sun UQCV 175 1 0 14 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental LearningInternational Conference on Learning Representations (ICLR), 2024 Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 314 17 0 06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?International Conference on Learning Representations (ICLR), 2024 Xuefeng Du Zhen Fang Ilias Diakonikolas Shouqing Yang OODD 220 33 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 248 43 0 05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 197 6 0 04 Feb 2024
Seeing is not always believing: The Space of Harmless Perturbations Lu Chen Shaofeng Li Benhao Huang Fan Yang Zheng Li Jie Li Yuan Luo AAML 162 0 0 03 Feb 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 200 2 0 26 Jan 2024
Open-Set Facial Expression RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2024 Yuhang Zhang Yue Yao Xuannan Liu Lixiong Qin Wenjing Wang Weihong Deng CVBM 119 10 0 23 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 418 1 0 22 Jan 2024
Revealing Vulnerabilities in Stable Diffusion via Targeted Attacks Chenyu Zhang Yiwen Ma Anan Liu 432 8 0 16 Jan 2024