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Adversarial Machine Learning -- Industry Perspectives

4 February 2020

Papers citing "Adversarial Machine Learning -- Industry Perspectives"

50 / 129 papers shown

Title
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 130 1 0 26 Jun 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 144 4 0 16 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning DiscoveryInternational Conference on Machine Learning (ICML), 2023 Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 120 0 0 06 Jun 2023
Poisoning Network Flow ClassifiersAsia-Pacific Computer Systems Architecture Conference (ACSA), 2023 Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 160 5 0 02 Jun 2023
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Jordan Meadows Marco Valentino Damien Teney André Freitas 202 12 0 21 May 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions Alexandra Brintrup George Baryannis Ashutosh Tiwari S. Ratchev Giovanna Martínez-Arellano Jatinder Singh 197 8 0 19 May 2023
Backdoor Attack with Sparse and Invisible TriggerIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Yinghua Gao Yiming Li Xueluan Gong Zhifeng Li Shutao Xia Qianqian Wang AAML 288 34 0 11 May 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks Nils Lukas Florian Kerschbaum 219 1 0 07 May 2023
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners Nadia Nahar Haoran Zhang Grace A. Lewis Shurui Zhou Jane Hsieh 317 53 0 31 Mar 2023
A Survey on Malware Detection with Graph Representation LearningACM Computing Surveys (ACM Comput. Surv.), 2023 Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 247 50 0 28 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning AttacksInternational Conference on Machine Learning (ICML), 2023 Yiwei Lu Gautam Kamath Yaoliang Yu AAML 187 23 0 07 Mar 2023
Adversarial Sampling for Fairness Testing in Deep Neural NetworkInternational Journal of Advanced Computer Science and Applications (IJACSA), 2023 Tosin Ige William Marfo Justin Tonkinson Sikiru Adewale Bolanle Hafiz Matti OOD 123 10 0 06 Mar 2023
Analyzing And Editing Inner Mechanisms Of Backdoored Language ModelsConference on Fairness, Accountability and Transparency (FAccT), 2023 Max Lamparth Anka Reuel KELM 184 15 0 24 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 187 21 0 14 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning PipelinesConference on Computer and Communications Security (CCS), 2023 Eugene Bagdasaryan Vitaly Shmatikov AAML 271 3 0 09 Feb 2023
Towards Modelling and Verification of Social Explainable AIInternational Conference on Agents and Artificial Intelligence (ICAART), 2023 Damian Kurpiewski W. Jamroga Teofil Sidoruk AAML 149 4 0 02 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index A. Khademi M. Hopka Devesh Upadhyay OOD 187 4 0 01 Feb 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 187 7 0 20 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 208 6 0 11 Jan 2023
AI Maintenance: A Robustness PerspectiveComputer (IEEE Computer), 2023 Pin-Yu Chen Payel Das 289 18 0 08 Jan 2023
TrojanPuzzle: Covertly Poisoning Code-Suggestion ModelsIEEE Symposium on Security and Privacy (IEEE S&P), 2023 H. Aghakhani Wei Dai Andre Manoel Xavier Fernandes Anant Kharkar Christopher Kruegel Giovanni Vigna David Evans B. Zorn Robert Sim SILM 183 58 0 06 Jan 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 244 105 0 29 Dec 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine LearningAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022 Ying Yuan Giovanni Apruzzese Mauro Conti AAML 294 27 0 24 Oct 2022
Cybersecurity in the Smart Grid: Practitioners' Perspective Jacqueline Meyer Giovanni Apruzzese 188 5 0 24 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 157 8 0 24 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?USENIX Security Symposium (USENIX Security), 2022 Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 161 22 0 12 Oct 2022
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data Chathurika S. Wickramasinghe Daniel L. Marino Harindra S. Mavikumbure Victor Cobilean Timothy D. Pennington Benny J. Varghese C. Rieger Milos Manic AAML 113 21 0 05 Sep 2022
Reducing Certified Regression to Certified Classification for General Poisoning Attacks Zayd Hammoudeh Daniel Lowd AAML 206 12 0 29 Aug 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning AttacksNeural Information Processing Systems (NeurIPS), 2022 Tianwei Liu Yu Yang Baharan Mirzasoleiman AAML 246 37 0 14 Aug 2022
Image and Model Transformation with Secret Key for Vision Transformer Hitoshi Kiya Ryota Iijima Maungmaung Aprilpyone Yuma Kinoshita ViT 144 25 0 12 Jul 2022
Machine Learning Security in Industry: A Quantitative SurveyIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Kathrin Grosse L. Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz 234 46 0 11 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 130 19 0 30 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 202 185 0 20 Jun 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and BenchmarksNeural Information Processing Systems (NeurIPS), 2022 Ganqu Cui Lifan Yuan Bingxiang He Yangyi Chen Zhiyuan Liu Maosong Sun AAML ELM SILM 245 93 0 17 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 229 3 0 08 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning Yinglun Xu Qi Zeng Gagandeep Singh AAML 264 8 0 30 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 232 30 0 19 Apr 2022
Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking Jinghui Xu Jifeng Zhu Yong-Liang Yang 157 1 0 19 Apr 2022
Machine Learning Security against Data Poisoning: Are We There Yet? Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 139 49 0 12 Apr 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning AttacksInternational Conference on Learning Representations (ICLR), 2022 Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Yue Liu AAML OffRL 154 39 0 16 Mar 2022
Energy-Latency Attacks via Sponge PoisoningInformation Sciences (Inf. Sci.), 2022 Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 469 33 0 14 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security Erick Galinkin SILM 132 6 0 06 Mar 2022
An Equivalence Between Data Poisoning and Byzantine Gradient AttacksInternational Conference on Machine Learning (ICML), 2022 Sadegh Farhadkhani R. Guerraoui L. Hoang Oscar Villemaud FedML 178 28 0 17 Feb 2022
Holistic Adversarial Robustness of Deep Learning ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Pin-Yu Chen Sijia Liu AAML 317 22 0 15 Feb 2022
DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep LearningInternational Conference on Software Engineering (ICSE), 2022 Eliska Kloberdanz Kyle G. Kloberdanz Wei Le 167 20 0 07 Feb 2022
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its ApplicationsAPSIPA Transactions on Signal and Information Processing (TASIP), 2022 Hitoshi Kiya AprilPyone Maungmaung Yuma Kinoshita Shoko Imaizumi Sayaka Shiota 171 63 0 26 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence EstimationConference on Computer and Communications Security (CCS), 2022 Zayd Hammoudeh Daniel Lowd TDI 256 36 0 25 Jan 2022
AI Ethics Principles in Practice: Perspectives of Designers and Developers Conrad Sanderson David M. Douglas Qinghua Lu Emma Schleiger Jon Whittle J. Lacey G. Newnham S. Hajkowicz Cathy J. Robinson David Hansen FaML 355 64 0 14 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 289 12 0 10 Dec 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 286 61 0 13 Oct 2021