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Fuzzing Automatic Differentiation in Deep-Learning Libraries
Chenyuan Yang
, Yinlin Deng
, Jiayi Yao
, Yuxing Tu
, Hanchi Li
,
Lingming Zhang
Siebel School of Computing and Data Science
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Automatic Differentiation
100%
Deep Learning
100%
Fuzzing
100%
Deep Learning Libraries
85%
Fuzz
71%
Fuzzer
42%
Execution Scenario
28%
PyTorch
28%
Popular
14%
First-order
14%
Filtering Strategy
14%
Fully Automated
14%
Numerical Instability
14%
Code Coverage
14%
Bug Detection
14%
Coverage Hole Detection
14%
Deep Learning Framework
14%
Deep Learning System
14%
TensorFlow
14%
Differential Testing
14%
Higher-order Gradients
14%
API Level
14%
Crucial Component
14%
Computer Science
Fuzzing
100%
Deep Learning Method
100%
Fuzzers
20%
Research Effort
10%
False Positive
10%
Order Gradient
10%
Learning System
10%
TensorFlow
10%