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27
5月 2025
(星期二)

如何透过AI侦破深伪技术

相关学科
金融法规
列印

感谢各位热烈参与！

以上活动经已圆满结束，敬请密切留意学院稍后活动。

活动重温

日期及时间
2025年5月27日 (星期二)13:30 - 14:00
活动形式
网上参与
网上平台
Zoom
费用
免费入场
讲者
  • Dr Albert Lam (the Chief Technology Officer and Chief Scientist at Fano Labs)

Dr Albert Lam

Dr Lam received the BEng degree (First Class Honors) in Information Engineering from the University of Hong Kong(HKU), Hong Kong, in 2005 and he obtained the PhD degree at the Department of Electrical and Electronic Engineering of HKU in 2010. He was a postdoctoral scholar at the Department of Electrical Engineering and Computer Sciences of University of California, Berkeley. He was a Research Assistant Professor at the Department of Computer Science of Hong Kong Baptist University in 2012–15 and the Department of Electrical and Electronic Engineering (EEE) of HKU in 2015–17. He is now the Chief Technology Officer and Chief Scientist at Fano Labs, a deep-tech startup specializing in speech and language technologies. He also serves at the Adjunct Assistant Professor at HKU EEE and Geograhpy.

查询
28678392 (amy.fung@hkuspace.hku.hk)
相关课程
Certificate for Module (Generative AI for Banking and Finance) Certificate for Module (Financial Fraud and Deepfake Detection)

近年騙徒利用人工智能（A.I.）等技術，發展出複雜的行騙手法，如利用網絡詐騙技術建立假冒銀行網站，或者假扮網上購物平台的買家，向受害人發送假冒網站的連結。顯示深偽詐騙技術一日千里，我們更加需要結合人工智能及深度學習開發先進的深偽偵測技術以識破騙徒換臉及變聲等詐騙手段。HKU SPACE 金融科技網上講座由Dr Albert Lam, the Chief Technology Officer and Chief Scientist at Fano Labs為你剖析人工智能及深偽偵測技術的最新發展，令圖像影片換臉變聲無所遁形。