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

5 December 2014

Jeff Clune

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

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Title
COME: Test-time adaption by Conservatively Minimizing Entropy Qingyang Zhang Yatao Bian Xinke Kong Peilin Zhao Changqing Zhang OOD TTA 144 2 0 12 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 33 2 0 07 Oct 2024
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Sebastian Peitz AAML 26 2 0 02 Oct 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection Liangyu Zhong Joachim Sicking Fabian Hüger Hanno Gottschalk VLM 42 0 0 25 Sep 2024
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation Tingting Yang Liang Xiao Yizhe Zhang 32 0 0 25 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 68 3 0 18 Sep 2024
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection Jialuo Chen Jingyi Wang Xiyue Zhang Youcheng Sun Marta Kwiatkowska Jiming Chen Peng Cheng 21 0 0 13 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty Sara Pohland Claire Tomlin 43 0 0 09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 43 2 0 08 Sep 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection Yewen Li Chaojie Wang Xiaobo Xia Xu He Ruyi An Dong Li Tongliang Liu Bo An Xinrun Wang OODD 50 0 0 05 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data Priyanka Chudasama Anil Surisetty Aakarsh Malhotra Alok Singh 29 0 0 02 Sep 2024
What does it take to get state of the art in simultaneous speech-to-speech translation? Vincent Wilmet Johnson Du 27 0 0 02 Sep 2024
Logit Scaling for Out-of-Distribution Detection Andrija Djurisic Rosanne Liu Mladen Nikolic OODD 53 1 0 02 Sep 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training Bongsoo Yi Rongjie Lai Yao Li AAML 40 0 0 27 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 35 0 0 20 Aug 2024
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series U. Schlegel Daniel A. Keim Tobias Sutter AI4TS 17 0 0 20 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail Yina He Lei Peng Yongcun Zhang Juanjuan Weng Zhiming Luo Shaozi Li OODD 42 0 0 13 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 35 0 0 05 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 48 0 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 40 1 0 31 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 60 4 0 30 Jul 2024
Crafting Generative Art through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes Erik M. Fredericks Denton Bobeldyk Jared M. Moore 46 0 0 29 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 68 4 0 23 Jul 2024
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering Lucas Plagwitz Lucas Bickmann Michael Fujarski Alexander Brenner Warnes Gobalakrishnan Lars Eckardt Antonius Büscher Julian Varghese 26 3 0 22 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis Zhipeng He Chun Ouyang Laith Alzubaidi Alistair Barros Catarina Moreira AAML 39 0 0 16 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 55 7 0 12 Jul 2024
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques Sudev Kumar Padhi Sk. Subidh Ali AAML 48 0 0 09 Jul 2024
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes Mikko Impio Jenni Raitoharju OODD 28 0 0 27 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 42 1 0 24 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 41 0 0 20 Jun 2024
Trustworthy Artificial Intelligence in the Context of Metrology Tameem Adel Sam Bilson Mark Levene Andrew Thompson 20 3 0 14 Jun 2024
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis Zhang Chen Christian Scano Srishti Gupta Xiaoyi Feng Zhaoqiang Xia ... Maura Pintor Luca Oneto Ambra Demontis Battista Biggio Fabio Roli AAML 36 1 0 14 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 40 4 0 13 Jun 2024
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification Maximilian Penka 48 0 0 12 Jun 2024
Cascading Unknown Detection with Known Classification for Open Set Recognition Daniel Brignac Abhijit Mahalanobis 40 1 0 10 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 40 0 0 08 Jun 2024
Constraint-based Adversarial Example Synthesis Fang Yu Ya-Yu Chi Yu-Fang Chen AAML 33 0 0 03 Jun 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models Jialong Wu Shaofeng Yin Ningya Feng Xu He Dong Li Haifeng Zhang Mingsheng Long VGen 49 26 0 24 May 2024
Generating camera failures as a class of physics-based adversarial examples Manav Prabhakar Jwalandhar Girnar Arpan Kusari AAML GAN 25 0 0 23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 51 2 0 20 May 2024
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors Jiachen Sun Changsheng Wang Jiong Wang Yiwei Zhang Chaowei Xiao AAML VLM 39 3 0 17 May 2024
Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment Weiqin Chuah Ruwan Tennakoon A. Bab-Hadiashar 23 1 0 12 May 2024
A Novel Wide-Area Multiobject Detection System with High-Probability Region Searching Xianlei Long Hui Zhao Chao Chen Fuqiang Gu Qingyi Gu 27 3 0 07 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation Pei Liu Luping Ji EDL 34 4 0 07 May 2024
Detecting music deepfakes is easy but actually hard Darius Afchar Gabriel Meseguer-Brocal Romain Hennequin 63 6 0 07 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 45 5 0 28 Apr 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 27 4 0 25 Apr 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning Padmanaba Srinivasan William J. Knottenbelt OffRL 32 2 0 25 Apr 2024
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 40 2 0 24 Apr 2024