Machine Learning Security in Industry: A Quantitative Survey

Machine Learning Security in Industry: A Quantitative Survey

11 July 2022

Tarek R. Besold

Battista Biggio

Katharina Krombholz

Papers citing "Machine Learning Security in Industry: A Quantitative Survey"

16 / 16 papers shown

Title
Graph of Effort: Quantifying Risk of AI Usage for Vulnerability Assessment Anket Mehra Andreas Aßmuth Malte Prieß 46 0 0 20 Mar 2025
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 78 0 0 19 Dec 2024
Efficient and Effective Model Extraction Hongyu Zhu Wentao Hu Sichu Liang Fangqi Li Wenwen Wang Shilin Wang 13 0 0 21 Sep 2024
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages Ying Yuan Qingying Hao Giovanni Apruzzese Mauro Conti Gang Wang AAML 31 5 0 03 Apr 2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency Soumyadeep Pal Yuguang Yao Ren Wang Bingquan Shen Sijia Liu AAML 34 8 0 15 Mar 2024
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems Mathew J. Walter Aaron Barrett Kimberly Tam 10 3 0 08 Dec 2023
Towards more Practical Threat Models in Artificial Intelligence Security Kathrin Grosse L. Bieringer Tarek R. Besold Alexandre Alahi 16 9 0 16 Nov 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 26 3 0 05 Oct 2023
MLSMM: Machine Learning Security Maturity Model F. Jedrzejewski D. Fucci Oleksandr Adamov 13 0 0 28 Jun 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 27 1 0 06 Jun 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 30 4 0 02 Jun 2023
Backdoor Attack with Sparse and Invisible Trigger Yinghua Gao Yiming Li Xueluan Gong Zhifeng Li Shutao Xia Qianqian Wang AAML 13 19 0 11 May 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 11 2 0 17 Feb 2023
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 17 116 0 04 May 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 21 1 0 04 Mar 2022
Machine Learning (In) Security: A Stream of Problems Fabrício Ceschin Marcus Botacin Albert Bifet Bernhard Pfahringer Luiz Eduardo Soares de Oliveira Heitor Murilo Gomes André Grégio AAML 11 28 0 30 Oct 2020