Ambra Demontis - Concepedia

Author

Ambra Demontis

University of Cagliari ORCID

Also Known As

Ambra Demontis, Carlini, Nicholas, Demontis A., Demontis Ambra, Demontis, Ambra

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

University of Cagliari University of Genoa École Polytechnique Fédérale de Lausanne University of Manchester Ca' Foscari University of Venice

About

Ambra Demontis is an author at University of Cagliari specializing in adversarial machine learning, engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	1.1K
2	Computer Science	13	14	1.1K
3	Data Science	11	11	993
4	Artificial Intelligence	8	8	895
5	Communication	2	2	170

Ambra Demontis

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Towards poisoning of deep learning algorithms with back-gradient optimization Luis Muñoz-González, Battista Biggio, Ambra Demontis, UNICA IRIS Institutional Research Information System (University of Cagliari) Artificial IntelligenceEngineeringMachine LearningPoisoning PointsEvasion Technique	2017	532
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González, Battista Biggio, Ambra Demontis, Artificial IntelligenceEngineeringMachine LearningPoisoning PointsEvasion Technique	2017	98
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis, Marco Melis, Maura Pintor, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningEvasion TechniqueInformation Security	2018	93
Why Do Adversarial Attacks Transfer? Explaining Transferability of\n Evasion and Poisoning Attacks Ambra Demontis, Marco Melis, Maura Pintor, arXiv (Cornell University)	2018	81
The Threat of Offensive AI to Organizations Yisroel Mirsky, Ambra Demontis, Jaidip Kotak, Computers & Security Artificial IntelligenceEngineeringResponsible AiComputer ScienceIntelligent Systems	2022	77
Secure Kernel Machines against Evasion Attacks Paolo Russu, Ambra Demontis, Battista Biggio, EngineeringMachine LearningEvasion TechniqueInformation SecurityLearning Algorithm	2016	76
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid Marco Melis, Ambra Demontis, Battista Biggio, UNICA IRIS Institutional Research Information System (University of Cagliari)	2018	76
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches Maura Pintor, Daniele Angioni, Angelo Sotgiu, Pattern Recognition Data AugmentationConvolutional Neural NetworkMachine VisionMachine LearningImage Analysis	2022	45
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Hardware SecurityEngineeringMachine LearningEvasion TechniqueInformation Security	2018	44
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection Ambra Demontis, Marco Melis, Battista Biggio, IEEE Transactions on Dependable and Secure Computing Artificial IntelligenceMobile SecurityEngineeringMachine LearningEvasion Technique	2017	40

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