來(lái)源：映維網(wǎng) 作者 顏昳華
混合現(xiàn)實(shí)和智能設(shè)備混合行業(yè)正在不斷發(fā)展，而獨(dú)特的產(chǎn)品、用例和設(shè)備將在這一全新的領(lǐng)域發(fā)揮作用。隨著一種全新的技術(shù)類別，安全性、隱私性和完整性都面臨著全新的挑戰(zhàn)，但同時(shí)為考慮信任提供了全新的可能性。
為了幫助針對(duì)混合現(xiàn)實(shí)和智能設(shè)備產(chǎn)品的安全性、隱私性、完整性和道德規(guī)范等方面的研究，F(xiàn)acebook在今年4月邀請(qǐng)大學(xué)教師就《Explorations of Trust in AR, VR, and Smart Devices（AR、VR和智能設(shè)備征求建議書）》提供反饋。
日前，這家公司正式公布了相關(guān)研究獎(jiǎng)項(xiàng)的獲獎(jiǎng)?wù)吆腿雵撸?/p>
第一輪獲獎(jiǎng)?wù)叩难芯恐饕剿髁艘韵路矫妫?/p>
用于AR和VR設(shè)備的安全認(rèn)證方法揭示3D空間混合真實(shí)數(shù)據(jù)的隱私風(fēng)險(xiǎn)AR中新攻擊對(duì)用戶的影響為下一代智能系統(tǒng)構(gòu)建多層防御框架3D混合現(xiàn)實(shí)中的DeepFake檢測(cè)方法
Facebook表示，資助相關(guān)的研究工作將有助于Facebook Reality Labs和XR行業(yè)更好地理解和解決新媒介帶來(lái)的風(fēng)險(xiǎn)，并幫助打造值得信賴的產(chǎn)品。
獲獎(jiǎng)項(xiàng)目
《Deepfakes and virtual conferences: Facial motion analysis for ID verification/Deepfakes和虛擬會(huì)議：用于身份驗(yàn)證的面部運(yùn)動(dòng)分析》
Ronald Fedkiw (Stanford University)《Experimental analysis of user impacts of novel attacks in augmented reality/增強(qiáng)現(xiàn)實(shí)中新型攻擊對(duì)用戶影響的實(shí)驗(yàn)分析》
Franziska Roesner, Tadayashi Kohno (University of Washington)《Secure and usable authentication for augmented and virtual reality devices/用于增強(qiáng)現(xiàn)實(shí)和虛擬現(xiàn)實(shí)設(shè)備的安全和可用身份驗(yàn)證》
Melanie Volkamer, Peter Mayer, Reyhan Duzgun (Karlsruhe Institute of Technology), Sanchari Das (University of Denver)《SmartShield: Building next generation trustworthy intelligent systems/智能盾牌：構(gòu)建下一代值得信賴的智能系統(tǒng)》
Sara Rampazzi (University of Florida), Daniel Genkin (University of Michigan)《Unravelling the nascent privacy risks of 3D spatial mixed reality data/揭開3D空間混合真實(shí)數(shù)據(jù)新生的隱私風(fēng)險(xiǎn)》
Kanchana Thilakarathna, Albert Zomaya (University of Sydney)
獎(jiǎng)項(xiàng)終選入圍項(xiàng)目
《Enforcing spatial content-mediation constraints for augmented reality/為增強(qiáng)現(xiàn)實(shí)實(shí)現(xiàn)空間內(nèi)容調(diào)節(jié)約束》
Carlos Ernesto Rubio-Medrano (Texas A&M University), Ziming Zhao (University at Buffalo)《Exploring authentication mechanisms for augmented reality glasses/增強(qiáng)現(xiàn)實(shí)眼鏡的認(rèn)證機(jī)制探討》
Rahul Chatterjee, Earlence Fernandez (University of Wisconsin – Madison), Yuhang Zhao (Cornell University)《Exploring the design space of trust-worthy voice user interfaces/值得信賴的語(yǔ)音用戶界面設(shè)計(jì)空間探索》
Yuan Tian (University of Virginia), Sauvik Das (Georgia Institute of Technology)《Intelligent and Interactive Design Fictions to Study and Shape Trust/智能化與交互式設(shè)計(jì)研究和塑造信任》
Elizabeth Murnane (Dartmouth College)《Robust and Efficient Adversarial Machine Learning for Mobile AR/一種魯棒高效的移動(dòng)AR對(duì)抗性機(jī)器學(xué)習(xí)算法》
Maria Gorlatova, Neil Gong (Duke University)《Secure Hardware for Trust in AR/VR/AR/VR中的安全硬件信任》
G. Edward Suh (Cornell University)《Securing AR/VR and Smart Devices via Cross-domain Low-effort Authentication/通過跨域低功耗身份驗(yàn)證來(lái)保護(hù)AR/VR和智能設(shè)備》
Yingying Chen (Rutgers University), Nitesh Saxena (University of Alabama at Birmingham)《Understanding Side-channel Attack Surfaces of AR Devices/了解AR設(shè)備的側(cè)信道攻擊面》
Yinqian Zhang (Ohio State University)原文鏈接：https://yivian.com/news/78335.html
