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Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 1,455 papers shown
Title
Collision-based Watermark for Detecting Backdoor Manipulation in Federated Learning
Collision-based Watermark for Detecting Backdoor Manipulation in Federated Learning
Wenjie Li
Siying Gu
Yiming Li
Kangjie Chen
Zhili Chen
Tianwei Zhang
Shu-Tao Xia
Dacheng Tao
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118
1
0
24 Dec 2025
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
Ethan Hsu
Harry Chen
Chudi Zhong
Lesia Semenova
68
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0
26 Nov 2025
Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nimeshika Udayangani
H. M. Dolatabadi
S. Erfani
C. Leckie
OODD
326
0
0
20 Nov 2025
DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks
DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks
Ci Lin
T. Yeap
I. Kiringa
Biwei Zhang
AAML
82
0
0
13 Nov 2025
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation
Kai-Hendrik Cohrs
Zuzanna Osika
Maria Gonzalez-Calabuig
Vishal Nedungadi
Ruben Cartuyvels
Steffen Knoblauch
Joppe Massant
Shruti Nath
Patrick Ebel
Vasileios Sitokonstantinou
88
0
0
13 Nov 2025
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
Kun Zou
Yongheng Xu
Jianxing Yu
Yan Pan
Jian Yin
Hanjiang Lai
OODD
413
0
0
04 Nov 2025
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks
Swapnil Bhosale
Cosmin Frateanu
Camilla Clark
Arnoldas Jasonas
Chris Mitchell
Xiatian Zhu
Vamsi Krishna Ithapu
Giacomo Ferroni
Cagdas Bilen
Sanjeel Parekh
72
0
0
01 Nov 2025
Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges
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Andrea Agiollo
Andrea Omicini
LM&RoAI4CE
144
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0
23 Oct 2025
Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring
Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring
Yingzi Han
Jiakai He
Chuanlong Xie
Jianping Li
OODD
141
0
0
20 Oct 2025
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
Xin Gao
Jiyao Liu
Guanghao Li
Yueming Lyu
Jianxiong Gao
...
Ningsheng Xu
Liang Wang
Caifeng Shan
Ziwei Liu
Chenyang Si
199
0
0
20 Oct 2025
On the Provable Importance of Gradients for Language-Assisted Image Clustering
On the Provable Importance of Gradients for Language-Assisted Image Clustering
Bo Peng
Jie Lu
G. Zhang
Zhen Fang
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127
0
0
18 Oct 2025
A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
Zixuan Liu
Yi Zhao
Zhuotao Liu
Qi Li
Chuanpu Fu
Guangmeng Zhou
Ke Xu
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86
0
0
16 Oct 2025
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla
M. Pennisi
Sarinda Samarasinghe
Giovanni Bellitto
S. Palazzo
Daniela Giordano
M. Shah
C. Spampinato
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229
0
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A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
Ningkang Peng
Yuzhe Mao
Yuhao Zhang
Linjin Qian
Qianfeng Yu
Yanhui Gu
Yi Chen
Li Kong
96
0
0
15 Oct 2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
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180
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A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
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Momin Abbas
Ali Falahati
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148
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SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
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162
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Influence-Guided Concolic Testing of Transformer Robustness
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Yu Wang
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92
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0
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Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
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Yizhou Lu
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127
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Graph Enhanced Trajectory Anomaly Detection
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Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
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84
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0
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103
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ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
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282
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TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space
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Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
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Wormhole Dynamics in Deep Neural Networks
Wormhole Dynamics in Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
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Model Interpretability and Rationale Extraction by Input Mask OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
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100
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Out-of-Distribution Detection using Counterfactual Distance
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Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
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Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
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ETA: Energy-based Test-time Adaptation for Depth Completion
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Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
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Enhancing Adversarial Robustness through Multi-Objective Representation Learning
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Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
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NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
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Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking
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The Security Threat of Compressed Projectors in Large Vision-Language Models
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Concept-Centric Token Interpretation for Vector-Quantized Generative Models
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Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
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Improving Out-of-Distribution Detection with Markov Logic Networks
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