On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

20 March 2017

Papers citing "On the Limitation of Convolutional Neural Networks in Recognizing Negative Images"

32 / 32 papers shown

Title
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants Adam Štorek Mukur Gupta Noopur Bhatt Aditya Gupta Janie Kim Prashast Srivastava Suman Jana AAML 76 0 0 18 Mar 2025
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models Esmaeil Seraj Walter Talamonti 30 0 0 10 Mar 2024
On the ability of CNNs to extract color invariant intensity based features for image classification Pradyumna Elavarthi James Lee Anca L. Ralescu 21 2 0 13 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 42 1 0 29 Jun 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 34 7 0 06 Apr 2023
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 29 25 0 09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 30 11 0 09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja Yan Yan J. Doppa OOD AI4TS 38 9 0 09 Jul 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 40 13 0 16 Jun 2022
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models Tochukwu Idika Ismail Akturk SILM AAML 36 0 0 03 Dec 2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks Kaiyuan Liu Xingyu Li Yu-Rui Lai Hong Xie Hang Su Jiacheng Wang Chunxu Guo J. Guan Yi Zhou AAML 34 3 0 21 Nov 2021
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks E. Verenich Tobias Martin Alvaro Velasquez Nazar Khan Faraz Hussain 24 3 0 01 Sep 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 31 0 0 18 Jun 2021
Robust Implicit Networks via Non-Euclidean Contractions Saber Jafarpour A. Davydov A. Proskurnikov Francesco Bullo 102 41 0 06 Jun 2021
Revisiting Edge Detection in Convolutional Neural Networks Minh Le Subhradeep Kayal FAtt 15 13 0 25 Dec 2020
A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits A. Mavi SLR 14 18 0 16 Nov 2020
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification Xianglin Zheng Zehong Cao Quan-wei Bai 13 5 0 27 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla S. Feizi AAML OOD 23 182 0 22 Jun 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 29 485 0 12 Feb 2020
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design Mayoore S. Jaiswal Bumboo Kang Jinho Lee Minsik Cho 21 2 0 15 Oct 2019
Adversarial Examples for Models of Code Noam Yefet Uri Alon Eran Yahav SILM AAML MLAU 36 164 0 15 Oct 2019
Extraction of Complex DNN Models: Real Threat or Boogeyman? B. Atli S. Szyller Mika Juuti Samuel Marchal Nadarajah Asokan MLAU MIACV 33 45 0 11 Oct 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 28 17 0 06 Aug 2019
Functional Adversarial Attacks Cassidy Laidlaw S. Feizi AAML 19 183 0 29 May 2019
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study Chihye Han Wonjun Yoon Gihyun Kwon S. Nam Dae-Shik Kim AAML 14 5 0 07 May 2019
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery Ritwik Gupta Carson D. Sestili J. Vazquez-Trejo Matthew E. Gaston VLM 22 2 0 12 Nov 2018
Classification by Re-generation: Towards Classification Based on Variational Inference Shideh Rezaeifar O. Taran Slava Voloshynovskiy DRL 13 4 0 10 Sep 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 50 226 0 18 Jul 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 67 1,191 0 23 Apr 2018
Assessing Shape Bias Property of Convolutional Neural Networks Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 16 36 0 21 Mar 2018
Semantic Adversarial Examples Hossein Hosseini Radha Poovendran GAN AAML 31 196 0 16 Mar 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 22 1,855 0 02 Jan 2018