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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
ArXiv (abs)
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2024
C. Linse
Erhardt Barth
Thomas Martinetz
202
2
0
22 Oct 2024
Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models
IEEE Symposium on Security and Privacy (S&P), 2024
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Yanhao Wei
Yankai Fu
Ziyi Wang
Yiming Li
Jie Zhang
Run Wang
Minlie Huang
DiffM
AAML
208
20
0
14 Oct 2024
COME: Test-time adaption by Conservatively Minimizing Entropy
International Conference on Learning Representations (ICLR), 2024
Qingyang Zhang
Yatao Bian
Xinke Kong
Peilin Zhao
Changqing Zhang
OOD
TTA
836
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12 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024
Sarah H. Cen
Rohan Alur
268
10
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07 Oct 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
Liangyu Zhong
Joachim Sicking
Fabian Hüger
Hanno Gottschalk
VLM
222
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25 Sep 2024
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Tingting Yang
Liang Xiao
Yizhe Zhang
190
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25 Sep 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
559
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18 Sep 2024
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection
International Conference on Automated Software Engineering (ASE), 2024
Jialuo Chen
Jingyi Wang
Xiyue Zhang
Youcheng Sun
Marta Kwiatkowska
Jiming Chen
Peng Cheng
226
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13 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
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Claire Tomlin
541
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09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?
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Jiahui Liu
Xin Wen
Shizhen Zhao
Yukang Chen
Xiaojuan Qi
OODD
310
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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
242
0
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05 Sep 2024
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Anil Surisetty
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228
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
172
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Logit Scaling for Out-of-Distribution Detection
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Andrija Djurisic
Rosanne Liu
Mladen Nikolic
OODD
251
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02 Sep 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training
Bongsoo Yi
Rongjie Lai
Yao Li
AAML
207
0
0
27 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
349
3
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20 Aug 2024
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
U. Schlegel
Daniel A. Keim
Tobias Sutter
AI4TS
150
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20 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
OODD
359
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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
202
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05 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection
Camilo Vargas
Qianni Zhang
E. Izquierdo
ObjD
VLM
245
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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
481
2
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31 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
European Conference on Computer Vision (ECCV), 2024
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
497
9
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30 Jul 2024
Crafting Generative Art through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes
Erik M. Fredericks
Denton Bobeldyk
Jared M. Moore
228
1
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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
230
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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
135
4
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22 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
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Chun Ouyang
Laith Alzubaidi
Alistair Barros
Catarina Moreira
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231
8
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16 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
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Wenjie Zhu
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VLM
370
17
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12 Jul 2024
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques
Sudev Kumar Padhi
Sk. Subidh Ali
AAML
215
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Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
Mikko Impio
Jenni Raitoharju
OODD
157
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Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
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Qing Cai
Feng Gao
Lin Qi
Junyu Dong
294
11
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Enhancing robustness of data-driven SHM models: adversarial training with circle loss
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Xijie Deng
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179
1
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20 Jun 2024
Trustworthy Artificial Intelligence in the Context of Metrology
Tameem Adel
Sam Bilson
Mark Levene
Andrew Thompson
162
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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
341
2
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14 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
Nikita Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLM
AAML
236
9
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13 Jun 2024
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification
Maximilian Penka
168
1
0
12 Jun 2024
Cascading Unknown Detection with Known Classification for Open Set Recognition
Daniel Brignac
Abhijit Mahalanobis
177
3
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10 Jun 2024
Understanding Inhibition Through Maximally Tense Images
Chris Hamblin
Srijani Saha
Talia Konkle
George Alvarez
FAtt
209
0
0
08 Jun 2024
Constraint-based Adversarial Example Synthesis
Fang Yu
Ya-Yu Chi
Yu-Fang Chen
AAML
224
2
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
293
87
0
24 May 2024
Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems
Manav Prabhakar
Jwalandhar Girnar
Arpan Kusari
AAML
GAN
252
0
0
23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
234
4
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21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng
Alexandre H. Thiery
Harold Soh
188
14
0
20 May 2024
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors
Jiachen Sun
Changsheng Wang
Zhenghao Hu
Yiwei Zhang
Chaowei Xiao
AAML
VLM
232
13
0
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Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment
Weiqin Chuah
Ruwan Tennakoon
A. Bab-Hadiashar
206
1
0
12 May 2024
A Novel Wide-Area Multiobject Detection System with High-Probability Region Searching
Fangming Guo
Hui Zhao
Chao Chen
Fuqiang Gu
Qingyi Gu
124
5
0
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Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
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Luping Ji
EDL
380
6
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Detecting music deepfakes is easy but actually hard
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Gabriel Meseguer-Brocal
Romain Hennequin
323
12
0
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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
221
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Heguang Lin
Ramya Korlakai Vinayak
OODD
271
9
0
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Offline Reinforcement Learning with Behavioral Supervisor Tuning
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William J. Knottenbelt
OffRL
189
4
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25 Apr 2024
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