Publication | Closed Access
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability
480
Citations
166
References
2020
Year
Ai ReliabilityDeep Neural NetworksEngineeringMachine LearningData ScienceAdversarial AttackTrustworthy AiVerificationAdversarial Machine LearningSafety ScienceAi SafetyComputer ScienceDeep Learning
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