Joseph Gardiner

Computer Networks and Communications · 2016

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 36 citations into it; #5,097 of 9,886 by trust here, #7,140 by citations
• Signal Processing — 33 citations into it; #4,153 of 7,572 by trust here, #5,570 by citations
• Safety, Robustness & Interpretability — 30 citations into it
• Artificial Intelligence — 28 citations into it; #20,166 of 35,345 by trust here, #27,551 by citations
• Information Systems — 22 citations into it
• Privacy & Security — 16 citations into it

Whom Joseph Gardiner trusts overall

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

1. Battista Biggio
2. Igino Corona
3. Roberto Perdisci
4. Giorgio Giacinto
5. Ke Wang
6. Fabio Roli
7. Charles Smutz
8. Anil Somayaji
9. Davide Maiorca
10. Manos Antonakakis

Who trusts Joseph Gardiner overall

1. Davide Maiorca
2. Jacob Steinhardt
3. Battista Biggio
4. Pang Wei Koh
5. Meng Xu
6. Giorgio Giacinto
7. Percy Liang
8. Aditi Raghunathan
9. Daniele Ucci
10. Amin Azmoodeh

Papers from Joseph Gardiner's perspective

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

1. Anomalous Payload-Based Network Intrusion Detection
2. Can machine learning be secure?
3. Mimicry attacks on host-based intrusion detection systems
4. Adversarial learning
5. Exploiting Machine Learning to Subvert Your Spam Filter
6. ImageNet classification with deep convolutional neural networks
7. Polymorphic Blending Attacks
8. Polygraph: automatically generating signatures for polymorphic worms
9. The security of machine learning
10. Nightmare at test time: robust learning by feature deletion

Their papers

• On the Security of Machine Learning in Malware C&C Detection (2016) — 127 citations