Early Methods for Detecting Adversarial Images

1 August 2016

Papers citing "Early Methods for Detecting Adversarial Images"

50 / 101 papers shown

Title
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 39 2 0 20 Aug 2024
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 25 3 0 22 Nov 2023
Beyond Labeling Oracles: What does it mean to steal ML models? Avital Shafran Ilia Shumailov Murat A. Erdogdu Nicolas Papernot AAML 37 4 0 03 Oct 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 21 0 0 25 Jun 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 43 0 0 31 Jan 2023
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 50 28 0 01 Nov 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 36 24 0 12 Oct 2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef) Guanxiong Liu Abdallah Khreishah Fatima Sharadgah Issa M. Khalil AAML 30 8 0 05 Sep 2022
Towards Adversarial Purification using Denoising AutoEncoders Dvij Kalaria Aritra Hazra P. Chakrabarti DiffM 25 4 0 29 Aug 2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries Manaar Alam Shubhajit Datta Debdeep Mukhopadhyay Arijit Mondal P. Chakrabarti AAML 20 5 0 18 Aug 2022
Sanitization of Visual Multimedia Content: A Survey of Techniques, Attacks, and Future Directions Hanaa Abbas Roberto Di Pietro 34 2 0 05 Jul 2022
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks Eyad Shtaiwi Ahmed El Ouadrhiri Majid Moradikia Salma Sultana Ahmed M Abdelhadi Zhu Han AAML GAN 30 7 0 29 May 2022
Btech thesis report on adversarial attack detection and purification of adverserially attacked images Dvij Kalaria AAML 10 1 0 09 May 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 33 3 0 16 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks Edoardo Mosca Shreyash Agarwal Javier Rando Georg Groh AAML 32 30 0 10 Apr 2022
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems Siyu Wang Yuanjiang Cao Xiaocong Chen L. Yao Xianzhi Wang Quan.Z Sheng AAML 23 3 0 02 Dec 2021
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images Dvij Kalaria Aritra Hazra P. Chakrabarti AAML 28 0 0 28 Nov 2021
Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches Francesco Craighero Fabrizio Angaroni Fabio Stella Chiara Damiani M. Antoniotti Alex Graudenzi AAML 13 8 0 24 Nov 2021
Detecting AutoAttack Perturbations in the Frequency Domain P. Lorenz P. Harder Dominik Strassel M. Keuper J. Keuper AAML 19 13 0 16 Nov 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 28 7 0 25 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
Adversarially Robust One-class Novelty Detection Shao-Yuan Lo Poojan Oza Vishal M. Patel AAML 25 29 0 25 Aug 2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes Mingjun Yin Shasha Li Zikui Cai Chengyu Song Ulugbek S. Kamilov A. Roy-Chowdhury S. Krishnamurthy AAML 19 18 0 19 Aug 2021
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases E. Merlo Mira Marhaba Foutse Khomh Houssem Ben Braiek G. Antoniol 12 0 0 28 Jul 2021
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them Florian Tramèr AAML 30 65 0 24 Jul 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 27 9 0 12 Jul 2021
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples Nelson Manohar-Alers Ryan Feng Sahib Singh Jiguo Song Atul Prakash AAML 27 1 0 01 Jul 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks F. Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 24 8 0 22 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 26 31 0 09 Jun 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 28 80 0 14 May 2021
Self-Supervised Adversarial Example Detection by Disentangled Representation Zhaoxi Zhang L. Zhang Xufei Zheng Jinyu Tian Jiantao Zhou AAML DRL 24 8 0 08 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 19 122 0 01 May 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Xia Hu G. Gu AAML 31 4 0 22 Mar 2021
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions Michael Goebel Jason Bunk Srinjoy Chattopadhyay L. Nataraj S. Chandrasekaran B. S. Manjunath AAML 19 4 0 19 Mar 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P. Harder Franz-Josef Pfreundt M. Keuper J. Keuper AAML 27 48 0 04 Mar 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints X. Li Xiangrui Li Deng Pan D. Zhu AAML 21 17 0 14 Dec 2020
Effect of backdoor attacks over the complexity of the latent space distribution Henry Chacón P. Rad AAML 11 1 0 29 Nov 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML PICV 19 27 0 28 Nov 2020
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks Ruizhe Gu Ping Wang Mengce Zheng Honggang Hu Nenghai Yu AAML 8 3 0 22 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 27 73 0 07 Aug 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 32 26 0 28 Jul 2020
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency Shasha Li Shitong Zhu Sudipta Paul A. Roy-Chowdhury Chengyu Song S. Krishnamurthy A. Swami Kevin S. Chan AAML 6 34 0 19 Jul 2020
Efficient detection of adversarial images Darpan Kumar Yadav Kartik Mundra Rahul Modpur Arpan Chattopadhyay I. Kar AAML 22 1 0 09 Jul 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 19 37 0 13 Jun 2020
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers S. Melacci Gabriele Ciravegna Angelo Sotgiu Ambra Demontis Battista Biggio Marco Gori Fabio Roli 13 14 0 06 Jun 2020
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients Chengcheng Ma Baoyuan Wu Shibiao Xu Yanbo Fan Yong Zhang Xiaopeng Zhang Zhifeng Li AAML 21 9 0 12 May 2020
Adversarial Imitation Attack Mingyi Zhou Jing Wu Yipeng Liu Xiaolin Huang Shuaicheng Liu Xiang Zhang Ce Zhu AAML 16 0 0 28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 25 142 0 28 Mar 2020
Are L2 adversarial examples intrinsically different? Mingxuan Li Jingyuan Wang Yufan Wu AAML 6 0 0 28 Feb 2020