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MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks.

, , , , , , , and . CoRR, (2023)

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Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps., , , , , and . WWW, page 2166-2177. ACM, (2023)POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models., , , , and . AsiaCCS, page 1031-1033. ACM, (2023)TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing., , , , and . CCS, page 2096-2112. ACM, (2021)Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact., , , , , and . SSE, page 1-10. IEEE, (2023)Towards adversarial detection of mobile malware: poster., , and . MobiCom, page 415-416. ACM, (2016)On the Impact of Location Errors on Localization Attacks in Location-Based Social Network Services., , , and . SpaCCS, volume 10066 of Lecture Notes in Computer Science, page 343-357. (2016)APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis., , , and . GLOBECOM, page 1-7. IEEE, (2018)On Security Weaknesses and Vulnerabilities in Deep Learning Systems., , , , , and . CoRR, (2024)DeepMutation: Mutation Testing of Deep Learning Systems., , , , , , , , , and 1 other author(s). ISSRE, page 100-111. IEEE Computer Society, (2018)An Explainability-Guided Testing Framework for Robustness of Malware Detectors., , , , , , , , and . (August 2023)