Shaik Mustafa

Safety, Robustness & Interpretability · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 13 citations into it
• Information Systems — 12 citations into it
• Signal Processing — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Privacy & Security — 7 citations into it

Whom Shaik Mustafa trusts overall

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

1. Battista Biggio
2. Giorgio Fumera
3. Fabio Roli
4. Pavel Laskov
5. Daniel Lowd
6. David B. Skillicorn
7. Marco Barreno
8. Luca Didaci
9. A. Kolcz
10. Blaine Nelson

Who trusts Shaik Mustafa overall

1. Battista Biggio

Papers from Shaik Mustafa's perspective

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

1. Good Word Attacks on Statistical Spam Filters
2. Can machine learning be secure?
3. On Attacking Statistical Spam Filters
4. Adversarial classification
5. Feature Weighting for Improved Classifier Robustness
6. A framework for quantitative security analysis of machine learning
7. Polymorphic Blending Attacks
8. Robustness of multimodal biometric fusion methods against spoof attacks
9. Multimodal fusion vulnerability to non-zero effort (spoof) imposters
10. Security evaluation of biometric authentication systems under real spoofing attacks

Their papers

• Identifying Security Evaluation of PatternClassifiers Under attack (2015) — 13 citations