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POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.

, , , , and . AsiaCCS, page 1031-1033. ACM, (2023)

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OptIForest: Optimal Isolation Forest for Anomaly Detection., , , , , , , and . IJCAI, page 2379-2387. ijcai.org, (2023)Membership Inference via Backdooring., , , , , and . IJCAI, page 3832-3838. ijcai.org, (2022)A Locality Sensitive Hashing Based Approach for Federated Recommender System., , , , , and . CCGRID, page 836-842. IEEE, (2020)Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought., , , , , , , , and . CoRR, (2024)Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning., , , and . CoRR, (2024)Research on water quality assessment method based on multi-class support vector machines., , , and . ICARCV, page 1661-1665. IEEE, (2008)Source Inference Attacks in Federated Learning., , , , and . ICDM, page 1102-1107. IEEE, (2021)Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning., , , , , and . CoRR, (2023)Cardinality Counting in Älcatraz": A Privacy-aware Federated Learning Approach., , , , and . WWW, page 3076-3084. ACM, (2024)DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts., , , , , and . USENIX Security Symposium, USENIX Association, (2024)