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Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

8 December 2017

Battista Biggio

Fabio Roli

AAML

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Papers citing "Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning"

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Title
A law of adversarial risk, interpolation, and label noise Daniel Paleka Amartya Sanyal NoLa AAML 94 10 0 08 Jul 2022
Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information Cory E. Merkel AAML 18 1 0 06 Jul 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 100 16 0 04 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 54 17 0 30 Jun 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems D'Jeff K. Nkashama Ariana Soltani Jean-Charles Verdier Marc Frappier Pierre-Marting Tardif F. Kabanza OOD AAML 68 6 0 25 Jun 2022
Understanding the effect of sparsity on neural networks robustness Lukas Timpl R. Entezari Hanie Sedghi Behnam Neyshabur O. Saukh 91 12 0 22 Jun 2022
The Role of Machine Learning in Cybersecurity Giovanni Apruzzese Pavel Laskov Edgardo Montes de Oca Wissam Mallouli Luis Brdalo Rapa A. Grammatopoulos Fabio Di Franco 78 137 0 20 Jun 2022
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 81 5 0 19 Jun 2022
Detecting Adversarial Examples in Batches -- a geometrical approach Danush Kumar Venkatesh Peter Steinbach AAML 58 2 0 17 Jun 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 114 114 0 16 Jun 2022
Architectural Backdoors in Neural Networks Mikel Bober-Irizar Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 60 26 0 15 Jun 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 50 18 0 15 Jun 2022
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection Wei Guo B. Tondi Mauro Barni AAML 50 13 0 02 Jun 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Mohamed Bennai AAML 70 8 0 27 May 2022
MALICE: Manipulation Attacks on Learned Image ComprEssion Kang Liu Di Wu Yi-Ren Wang Dan Feng Benjamin Tan S. Garg AAML 81 2 0 26 May 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic Hang Wang Zhen Xiang David J. Miller G. Kesidis AAML 96 44 0 13 May 2022
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell AAML 55 5 0 12 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 83 32 0 09 May 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 91 127 0 04 May 2022
Testing robustness of predictions of trained classifiers against naturally occurring perturbations S. Scher A. Trugler OOD AAML 90 1 0 21 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 79 5 0 20 Apr 2022
Residue-Based Natural Language Adversarial Attack Detection Vyas Raina Mark Gales AAML 72 12 0 17 Apr 2022
Overparameterized Linear Regression under Adversarial Attacks Antônio H. Ribeiro Thomas B. Schon AAML 53 19 0 13 Apr 2022
Evaluating the Adversarial Robustness for Fourier Neural Operators Abolaji D. Adesoji Pin-Yu Chen AAML 78 1 0 08 Apr 2022
EPASAD: Ellipsoid decision boundary based Process-Aware Stealthy Attack Detector Vikas Maurya R. Agarwal Saurabh Kumar S. Shukla 15 3 0 08 Apr 2022
Measuring AI Systems Beyond Accuracy Violet Turri R. Dzombak Eric T. Heim Nathan M. VanHoudnos Jay Palat Anusha Sinha 40 0 0 07 Apr 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 91 92 0 04 Apr 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 132 8 0 18 Mar 2022
Do Deep Networks Transfer Invariances Across Classes? Allan Zhou Fahim Tajwar Alexander Robey Tom Knowles George J. Pappas Hamed Hassani Chelsea Finn OOD 73 18 0 18 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 76 124 0 18 Mar 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 165 31 0 14 Mar 2022
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems Giovanni Apruzzese Luca Pajola Mauro Conti 81 56 0 09 Mar 2022
A Survey on Metaverse: Fundamentals, Security, and Privacy Yuntao Wang Zhou Su Ning Zhang Rui Xing Dongxiao Liu Tom H. Luan X. Shen 90 837 0 05 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 107 1 0 04 Mar 2022
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games T. Nguyen Arunesh Sinha AAML 47 0 0 27 Feb 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 109 34 0 22 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 87 37 0 21 Feb 2022
Generalizable Information Theoretic Causal Representation Mengyue Yang Xin-Qiang Cai Furui Liu Xu Chen Zhitang Chen Jianye Hao Jun Wang OOD CML 120 1 0 17 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 72 7 0 15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 103 16 0 15 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility Wai Tuck Wong Andrew Butler Ramesha Karunasena T. Nguyen Arunesh Sinha AAML 47 0 0 13 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 78 4 0 11 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 79 30 0 09 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 53 2 0 07 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Adel Bibi Riccardo Volpi Amartya Sanyal Philip Torr Grégory Rogez P. Dokania AAML 118 47 0 02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 257 17 0 31 Jan 2022
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection Maged AbdelAty Sandra Scott-Hayward Roberto Doriguzzi-Corin Domenico Siracusa AAML 60 25 0 31 Jan 2022
Improving Robustness by Enhancing Weak Subnets Yong Guo David Stutz Bernt Schiele AAML 149 15 0 30 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 97 22 0 12 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 93 15 0 07 Jan 2022