Venkatesh Naik

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

Whom Venkatesh Naik 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

Papers from Venkatesh Naik's perspective

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

  1. Good Word Attacks on Statistical Spam Filters
  2. On Attacking Statistical Spam Filters
  3. Can machine learning be secure?
  4. Feature Weighting for Improved Classifier Robustness
  5. A framework for quantitative security analysis of machine learning
  6. Adversarial classification
  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