Michael W. Hicks

Artificial Intelligence · 2002–2020

A researcher in the Science corpus: 11 papers; trusts 25 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #7,310 of 35,345 by trust here, #10,319 by citations
• Signal Processing — 35 citations into it; #2,324 of 7,572 by trust here, #2,990 by citations
• Information Systems — 34 citations into it; #3,119 of 8,771 by trust here, #2,604 by citations
• Software — 31 citations into it; #477 of 1,227 by trust here, #250 by citations
• Computer Networks and Communications — 16 citations into it; #2,870 of 9,886 by trust here, #4,594 by citations
• Program Analysis & Verification — 9 citations into it; #108 of 301 by trust here, #93 by citations
• Computational Theory and Mathematics — 7 citations into it
• Software Engineering — 7 citations into it; #58 of 113 by trust here, #55 by citations

Whom Michael W. Hicks trusts overall

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

1. George C. Necula
2. Arvind Seshadri
3. Scott McPeak
4. Martín Abadi
5. Danqi Chen
6. Marta C. González
7. Paolo Crucitti
8. Tore Opsahl
9. Tal Garfinkel
10. Nick L. Petroni Jr.

Who trusts Michael W. Hicks overall

1. S. Ji
2. Xueyang Wang
3. Jordan L. Boyd-Graber
4. Changchang Liu
5. Ryan D. Riley
6. Bryan D. Payne
7. Xuxian Jiang
8. Weiqing Li
9. Arkadiusz Stopczynski
10. Zhi Wang

Papers from Michael W. Hicks's perspective

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

1. Intriguing properties of neural networks
2. Explaining and Harnessing Adversarial Examples
3. Terra: a virtual machine-based platform for trusted computing (Symposium on Operating Systems Principles)
4. Cyclone: A Safe Dialect of C (USENIX ATC, General Track)
5. Checking system rules using system-specific, programmer-written compiler extensions (USENIX Symposium on Operating Systems Design and Implementation)
6. Scikit-learn: Machine Learning in Python
7. Copilot - a Coprocessor-based Kernel Runtime Integrity Monitor (USENIX Security Symposium)
8. ImageNet classification with deep convolutional neural networks
9. Design and Implementation of a TCG-based Integrity Measurement Architecture
10. SWATT: softWare-based attestation for embedded devices (IEEE Symposium on Security and Privacy : Proceedings)

Their papers

• Build It, Break It, Fix It: Contesting Secure Development (2016) — 78 citations
• Dynamic inference of static types for ruby (2011) — 97 citations
• Deanonymizing mobility traces: using social network as a side-channel (2012) — 274 citations
• Understanding security mistakes developers make: Qualitative analysis from Build It, Break It, Fix It (2020) — 86 citations
• Evaluating Fuzz Testing (2018) — 785 citations
• Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning (2017) — 20 citations
• Static type inference for Ruby (2009) — 179 citations
• Automated detection of persistent kernel control-flow attacks (2007) — 343 citations
• Understanding source code evolution using abstract syntax tree matching (2005) — 322 citations
• Cyclone: A Safe Dialect of C (2002) — 903 citations
• Region-based memory management in cyclone (2002) — 450 citations