中国图灵大会人工智能与安全学术会议(ACM TURC-AIS , ACM TURC Conference on Artificial Intelligence and Security)是 ACM
中国图灵大会(ACM
TURC)下设的唯一学术分会。依托于主会每年举办一届,主要关注计算机前沿技术、人工智能与安全。会议立足国内,面向国际,致力于收录展示度高、代表性强的国内外前沿学术成果。欢迎鼓励国内外专家学者参与、投稿。会议正式录用的文章将在
ACM Digital Library 发表(EI 检索),优秀论文将被推荐到本领域8个知名 SCI
期刊发表;会议短文将在普通国际期刊发表。具有代表性的成果,将安排在中国图灵大会学术分会场进行报告。投稿并注册参加本学术分会的作者,将有机会同时参与中国图灵大会的各项活动。
详情ACM TURC-AIS官网:http://www.turcais.com
We are pleased to announce that the 1st ACM TURC Conference on Artificial Intelligence and Security
(TURC-AIS 2019, http://www.turcais.com) will be held from May
17-19, 2019 at Chengdu, China. As the only workshop of the ACM Turing Celebration Conference - China
(ACM TURC 2019, ACM 中国图灵大会), TURC AIS offers a timely venue for researchers and industry partners to
present and discuss their latest results in computer science, artificial intelligence, security and
privacy related works.
The organizing committee is excited to invite you to take part in ACM TURC AIS 2019, to discuss issues
at the technological frontier of society today as well as interdisciplinary technological trends. The
technical program chairs invite the submission of original papers to following symposia for presentation
and publication in the conference proceedings (ACM Digital Library). Best paper awards will be selected
from accepted papers. Outstanding papers will be invited for possible publication in SCI-indexed
journals.
Topics of interest include, but are not limited to:
- Artificial Intelligence and Security
- Machine Learning
- Natural Language Processing
- Computer Vision
- Data Mining
- Artificial Neural Networks
- Affective Computing
- Planning
- Knowledge Representation
- Reasoning
- Robotics and Reception
- Big Data Applications
- Artificial Intelligence Applications in Science, Engineering, Healthcare and Medicine
- Big Data and Security
- Techniques, Models and Algorithms for Big Data
- Tools and Systems for Big Data
- Big Data Analytics and Social Media
- Hardware/Software Infrastructure for Big Data
- Mobile Communications and Networks
- Security and Privacy for Big Data
- Copyright Protection for Big Data
- Data Compression
- Machine Learning and AI for Big Data
- Big Data Persistence and Preservation
- Big Data Quality and Provenance Control
- Big Data Storage and Retrieval
- Cloud Computing and Security
- Cloud Computing Architecture and Systems
- Cloud Computing Models, Simulations, Designs, and Paradigms
- Cloud Management and Operations
- Dynamic Resource Provision and Consuming
- Cloud Computing Technologies, Services and Applications
- Security Evaluation and Benchmarks Based on Cloud
- Authentication, Authorization and Reliability Issues in Cloud
- Security and Privacy in Cloud Computing
- Information Hiding
- Coverless Information Hiding
- Steganography and Steganalysis
- Digital Watermarking, Fingerprinting and Forensics
- Multimedia Authentication and Encryption
- Covert/Subliminal Channels
- IoT Security
- Data Security and Privacy in the IoT
- Attacks and Countermeasures on IoT Systems
- Trust Model, Data Aggregation and Information Sharing
- Secure Hardware and Software for IoT
- Application Security for IoT
- Multimedia Forensics
- Active and Passive Forensics
- Big Data Forensics
- Portable electronic device forensics
- Network Forensics
- Anti-forensics
- Encryption and Cybersecurity
- Measurements for Cybersecurity
- Post Quantum Cybersecurity
- Visualization for Security
- Applied Cryptography
- Language-based Security