January 01, 2022 book-chapter An Approach to Evaluate the Reliability of the Face Recognition Process Using Adversarial Samples Generated by Deep Neural Networks Lecture notes in networks and systems DOI: 10.1007/978-981-19-3394-3_28 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Adversarial Examples on Object Recognition 2020 ACM Computing Surveys article Computer Science Adversarial Robustness in Machine Learning Open access 139 citations 1 result