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An Investigation of Large Language Models for Real-World Hate Speech Detection.

, , , , , , and . ICMLA, page 1568-1573. IEEE, (2023)

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An Investigation of Large Language Models for Real-World Hate Speech Detection., , , , , , and . ICMLA, page 1568-1573. IEEE, (2023)Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images., , , , and . CVPR Workshops, page 1343-1351. IEEE Computer Society, (2017)Analysis of COVID-19 Offensive Tweets and Their Targets., , , , , , , and . KDD, page 4473-4484. ACM, (2023)Understanding and Analyzing COVID-19-related Online Hate Propagation Through Hateful Memes Shared on Twitter., , , , , , , and . ASONAM, page 103-107. ACM, (2023)Towards Automatic Detection and Explanation of Hate Speech and Offensive Language., , , , and . IWSPA@CODASPY, page 23-29. ACM, (2020)Towards Automated Content-based Photo Privacy Control in User-Centered Social Networks., , , , , , and . CODASPY, page 65-76. ACM, (2022)Towards Understanding and Detecting Cyberbullying in Real-world Images., , , and . NDSS, The Internet Society, (2021)Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network., , , , , , , , , and . ICMLA, page 740-745. IEEE Computer Society, (2016)MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks., , , , , , and . IWSPA@CODASPY, page 37-42. ACM, (2017)Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability., , , , , and . USENIX Security Symposium, page 643-660. USENIX Association, (2023)