Jianmin Guo's Homepage
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RNN-Test: Towards adversarial testing for recurrent neural network systems
A general-purpose adversarial testing framework for seq2seq tasks in RNN systems, demonstrated its effectiveness over various tasks including language model, spell checker, speech recognition and image classification.
AdvDoor: Adversarial backdoor attack of deep learning system
Inject backdoor attacks with adversarial perturbations
Hdtest: Differential fuzz testing of brain-inspired hyperdimensional computing
Fuzz testing framework for brain-inspired hyperdimensional computing
Coverage Guided Differential Adversarial Testing of Deep Learning Systems
Comprehensive journal version of DLFuzz
Leopard: Identifying vulnerable code for vulnerability assessment through program metrics
Identify vulnerability-prone functions with program complexity analysis
Dlfuzz: Differential fuzzing testing of deep learning systems
The first fuzz testing framework in deep learning testing.
Cube-evo: A query-efficient black-box attack on video classification system
Query-efficient black-box attack for video classification
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