Conference Information

AIS&P 2025: International Conference on Artificial Intelligence Security and Privacy

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Submission Date:
2025-11-28
Notification Date:
2025-12-02
Conference Date:
2025-12-05
Location:
Guangzhou, China
Years:
3
Viewed: 11225   Tracked: 1   Attend: 3
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AIS&P
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Conference Partner Index (CP-I)

41.7 / 100
Ranked #4,710 of 5,694 conferences · Top 83%

#293 of 362 in Security & Privacy #595 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
15
Public record completeness (15%)
35

Inputs used: Editions on record: 3 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-07

Call For Papers

AIS&P 2025 (International Conference on Artificial Intelligence Security and Privacy) is an academic conference held in Guangzhou, China on 2025-12-05. The paper submission deadline is 2025-11-28. Acceptance notifications are sent on 2025-12-02.

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
Last updated by Dou Sun on

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