Swaroop Kalasapur

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Swaroop Kalasapur trusts overall

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

  1. Nicholas Nethercote
  2. James Newsome
  3. Julian Seward

Who trusts Swaroop Kalasapur overall

  1. Erik Krogh Kristensen
  2. Vincent J. Hellendoorn

Papers from Swaroop Kalasapur's perspective

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

  1. Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software (Network and Distributed System Security Symposium)
  2. Using Valgrind to Detect Undefined Value Errors with Bit-Precision (USENIX ATC, General Track)
  3. DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  4. Pin: building customized program analysis tools with dynamic instrumentation (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  5. Dytan: a generic dynamic taint analysis framework (International Symposium on Software Testing and Analysis)
  6. Valgrind: a framework for heavyweight dynamic binary instrumentation (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  7. A Symbolic Execution Framework for JavaScript (IEEE Symposium on Security and Privacy)
  8. Towards Type Inference for JavaScript
  9. An analysis of the dynamic behavior of JavaScript programs (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  10. Efficient, transparent, and comprehensive runtime code manipulation

Their papers