Timing Attacks on Machine Learning: State of the Art

2019/08/23 by Mazaher Kianpour, Shao-Fang Wen · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Adversarial machine learning #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Computer science #Field (mathematics) #Machine learning #Process (computing) #State (computer science) #Taxonomy (biology)

paper · doi:10.1007/978-3-030-29516-5_10

openalex publication_date 2019/08/23 · crossref created 2019/08/23 · crossref issued 2019/08/24 · crossref published 2019/08/24 · crossref published-online 2019/08/24 · crossref published-print 2020/01/01 · crossref deposited 2022/09/26 · crossref indexed 2025/09/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Citations

• The security of machine learning
• End to End Learning for Self-Driving Cars
• A Survey on Malware Detection Using Data Mining Techniques
• Making machine learning robust against adversarial inputs
• Diagnosing network-wide traffic anomalies

Cited by

• Adversarial machine learning [wikipedia]