題 目:Security of Deep - Battle on the Face
內(nèi)容簡(jiǎn)介:During past several years we have seen many improvements on machine learning technologies which have also been deployed in many real world systems. However, this has also brought some new security problems at the same time. One example is the security of face based authentication system. It has been reported that current face authentication systems can be easily cheated with masks and/or computer generated videos. In the first part of this talk, I will introduce one of my works on performing liveness detections which will check if a given face image is coming from a live person or not. Another problem is adversarial machine learning, where attackers could craft and feed a ambiguous image into a vulnerable machine learning system, resulting a wrong classification results, meanwhile the problem should not exist for human beings. In this talk, I will introduce a work on how to find malicious image samples for a given machine learning system efficiently and at the same time without being noticed. For example, it was said that machine learning algorithms now can have better. In the last part of this talk, I will introduce a work on data set poisonous problem, i.e., a robust detection algorithm for back-door contaminations inside atraining dataset.
報(bào)告人:香港中文大學(xué)張克環(huán)副教授
報(bào)告人簡(jiǎn)介:主要研究方向是系統(tǒng)與網(wǎng)絡(luò)安全,包括移動(dòng)安全、物聯(lián)網(wǎng)安全、Web安全,以及各種側(cè)信道攻擊與應(yīng)用等。2012年畢業(yè)于美國(guó)印第安納大學(xué)布魯明頓分校獲得博士學(xué)位。張教授具有豐富的系統(tǒng)開(kāi)發(fā)和系統(tǒng)安全研究經(jīng)驗(yàn),在研究和指導(dǎo)學(xué)生方面成果豐碩。赴美攻讀博士學(xué)位之前曾在港灣網(wǎng)絡(luò)等公司工作,使用Verilog語(yǔ)言開(kāi)發(fā)基于FPGA芯片的骨干網(wǎng)路由器以及某航天器顯示模塊。研究方面,在系統(tǒng)安全領(lǐng)域的四大頂級(jí)會(huì)議上發(fā)表論文近20篇,主持承擔(dān)了多項(xiàng)香港特區(qū)政府和國(guó)家自科技基金面上項(xiàng)目,并與國(guó)內(nèi)外的安全領(lǐng)域內(nèi)的知名專(zhuān)家和高校有合作關(guān)系(清華、中科院信工所、美國(guó)加州大學(xué)Irvine分校、美國(guó)俄亥俄州立大學(xué)、西安交通大學(xué)等)。目前研究團(tuán)隊(duì)在讀博士研究生8人,已指導(dǎo)博士畢業(yè)4人(去向阿里巴巴、山東大學(xué)、復(fù)旦大學(xué)、國(guó)防科技大學(xué))。
時(shí) 間:2019年12月23日(周一)下午3:30始
地 點(diǎn):南海樓224室
熱烈歡迎廣大師生參加!
信息科學(xué)技術(shù)學(xué)院
2019年12月20日