报告题目：Recent Advances and Challenges in Cryptography
时 间：2026年6月4日（星期四）10:20
地 点：科研楼18号楼1102
主 办：数学与统计学院、分析数学及应用教育部重点实验室
参加对象：感兴趣师生
报告摘要：Recent advancements in cryptography are driving innovation across multiple domains, yet they also introduce significant challenges. This talk will explore three key areas at the forefront of cryptographic research: privacy-preserving technologies, post-quantum cryptography, and privacy in artificial intelligence (AI). In the domain of privacy-preserving technologies, we will delve into fully homomorphic encryption, secure multiparty computation, and verifiable computation—each offering promising avenues for enabling secure data processing while preserving privacy. Post-quantum cryptography represents a vital response to the looming threat posed by quantum computing. We will discuss the ongoing NIST competition aimed at standardizing quantum-resistant algorithms, and the challenges of migrating existing systems to post-quantum standards. Lastly, privacy in AI is an emerging field of concern. We will highlight how fully homomorphic encryption can enable privacy-preserving machine learning, with a particular focus on private neural networks, showing how cryptographic tools can ensure confidentiality in AI-driven environments.
报告人简介：王华雄，新加坡南洋理工大学校长讲席教授。2013至2015年担任校数学科学部主任，现兼任新加坡国家可信数字研究中心联合主任、隐私保护研究中心副主任。分别于1996年、2001年取得以色列海法大学数学博士、澳大利亚卧龙岗大学计算机科学博士学位，此前曾在澳大利亚麦考瑞大学、卧龙岗大学从事教学与科研工作，主攻密码学及网络空间安全领域。累计指导三十余名博士生，受聘为多份国际期刊编委，参与百余场国际会议程序委员会工作并多次出任主席。曾荣获澳大利亚 - 新西兰计算机协会最佳研究奖，两度担任亚洲密码学会议程序委员会联合主席，并于2026年当选国际密码学会会士。