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researcher

S. Jana

39 papers hereh-index 4712.7k citations91 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author15
  • last author22

Across the 38 of 39 papers where every author was matched, so the position is known.

fields
  • cs.CR18
  • cs.LG12
  • cs.SE3
  • cs.AI2
  • cs.CL1
  • cs.CV1
same name
  • S. Jana — 57 papers, h 33
  • S. Jana — 36 papers, h 27
  • S. Jana — 20 papers, h 14
  • S. Jana — 16 papers, h 12
  • S. Jana — 14 papers, h 15
  • S. Jana — 10 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152024
most citedDeepXplore: Automated Whitebox Testing of Deep Learning Systems

1.3k citations · 2.7k across the 38 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CR2022★ 8 cited

NeuDep: Neural Binary Memory Dependence Analysis

Kexin Pei, Dongdong She, Michael Wang +6

Determining whether multiple instructions can access the same memory location is a critical task in binary analysis. It is challenging as statically computing precise alias informa…

cs.CR2022★ 19 cited

MC2: Rigorous and Efficient Directed Greybox Fuzzing

Abhishek Shah, Dongdong She, Samanway Sadhu +3

Directed greybox fuzzing is a popular technique for targeted software testing that seeks to find inputs that reach a set of target sites in a program. Most existing directed greybo…

cs.LG2022★ 33 cited

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

Huan Zhang, Shiqi Wang, Kaidi Xu +5

Bound propagation methods, when combined with branch and bound, are among the most effective methods to formally verify properties of deep neural networks such as correctness, robu…

cs.CR2022★ 1 cited

Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis

Dongdong She, Abhishek Shah, Suman Jana

Seed scheduling, the order in which seeds are selected, can greatly affect the performance of a fuzzer. Existing approaches schedule seeds based on their historical mutation data,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.