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Why adversarial reprogramming works, when it fails, and how to tell the difference

INFORMATION SCIENCES (2023)

Cross-modal Adversarial Reprogramming

Paarth Neekhara et al.

Summary: With adversarial reprogramming, pre-trained image classification networks can be repurposed for Natural Language Processing (NLP) and other sequence classification tasks without modifying the network architecture or parameters.

2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022) (2022)

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Article Computer Science, Information Systems

Adversarial Detection of Flash Malware: Limitations and Open Issues

Davide Maiorca et al.

COMPUTERS & SECURITY (2020)

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Article Computer Science, Hardware & Architecture

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Ambra Demontis et al.

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2019)

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Article Computer Science, Artificial Intelligence

Wild patterns: Ten years after the rise of adversarial machine learning

Battista Biggio et al.

PATTERN RECOGNITION (2018)

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Why adversarial reprogramming works, when it fails, and how to tell the difference

相关参考文献

Cross-modal Adversarial Reprogramming

Adversarial Detection of Flash Malware: Limitations and Open Issues

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Wild patterns: Ten years after the rise of adversarial machine learning

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