Angelo Sotgiu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Safety, Robustness & Interpretability — 13 citations into it

Whom Angelo Sotgiu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Battista Biggio

Papers from Angelo Sotgiu's perspective

Ordered by how strongly the researchers Angelo Sotgiu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Intriguing properties of neural networks
2. Evasion Attacks against Machine Learning at Test Time
3. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
4. Axiomatic Attribution for Deep Networks
5. The Limitations of Deep Learning in Adversarial Settings
6. Poisoning Attacks against Support Vector Machines
7. Towards Evaluating the Robustness of Neural Networks
8. Adversarial machine learning
9. Understanding Black-box Predictions via Influence Functions
10. Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning (Pattern Recognition)

Their papers

• secml: A Python Library for Secure and Explainable Machine Learning (2019) — 42 citations