# AIS&P — International Conference on Artificial Intelligence Security and Privacy - **Submission deadline**: 2025-11-28 - **Notification date**: 2025-12-02 - **Conference date**: 2025-12-05 - **Location**: Guangzhou, China - **Conference Partner Index**: 41.7/100 (ranked #4710, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking - **Trackers**: 1 - **Attendees**: 3 - **Canonical page**: https://www.myhuiban.com/conference/4656 ## Call for papers 2025 3rd International Conference on Artificial Intelligence Security and Privacy (AIS&P 2025)provides a premier forum for the presentation of new advances and research results in the fields of Artificial Intelligence Security and Privacy. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to: ● Attacks and defence on AI systems ● Adversarial learning ● Privacy-preserving data mining ● Differential privacy ● Trustworthy AI ● AI Fairness ● AI Interpretability ● Cryptography for AI ● Security applications ## Related conferences - AIS' — International Conference on Artificial Intelligence Systems — https://www.myhuiban.com/conference/5395 - AIS'' — International Conference on Artificial Intelligence in Society — https://www.myhuiban.com/conference/5412 - AIS — International Conference on Artificial Intelligence and Soft Computing — https://www.myhuiban.com/conference/3500 - S&P — IEEE Symposium on Security and Privacy — https://www.myhuiban.com/conference/289 - Artificial Intelligence — International Conference on Automation and Artificial Intelligence — https://www.myhuiban.com/conference/3369 ## Related journals - IEEE Security & Privacy — https://www.myhuiban.com/journal/31 - Security and Privacy — https://www.myhuiban.com/journal/687 - IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152 - Knowledge-Based Systems — https://www.myhuiban.com/journal/227 - Software & Systems Modeling — https://www.myhuiban.com/journal/99 --- Source: Conference Partner — https://www.myhuiban.com/conference/4656 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)