Ambra Demontis

Identifiers

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Papers (8)

1. Prototype-Guided Robust Learning against Backdoor Attacks cs.CR · 2025 · author #3
2. Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks cs.LG · 2018 · author #1
3. Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables cs.CR · 2018 · author #2
4. Super-sparse Learning in Similarity Spaces cs.CV · 2017 · author #1
5. On Security and Sparsity of Linear Classifiers for Adversarial Settings cs.LG · 2017 · author #1
6. Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization cs.LG · 2017 · author #3
7. Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid cs.LG · 2017 · author #2
8. Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection cs.CR · 2017 · author #1

Mentions

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Frequent Coauthors

• Battista Biggio 8 shared papers
• Fabio Roli 7 shared papers
• Marco Melis 4 shared papers
• Giorgio Fumera 3 shared papers
• Davide Maiorca 2 shared papers
• Giorgio Giacinto 2 shared papers
• Maura Pintor 2 shared papers
• Alina Oprea 1 shared papers
• Andrea Paudice 1 shared papers
• Bojan Kolosnjaji 1 shared papers
• Claudia Eckert 1 shared papers
• Cristina Nita-Rotaru 1 shared papers
• Daniel Arp 1 shared papers
• Emil C. Lupu 1 shared papers
• Gavin Brown 1 shared papers
• Igino Corona 1 shared papers
• Konrad Rieck 1 shared papers
• Luis Mu\~noz-Gonz\'alez 1 shared papers
• Matthew Jagielski 1 shared papers
• Paolo Russu 1 shared papers