EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations
Jung-Woo Chang1, Ke Sun2, David Xia3, Xinyu Zhang1, Farinaz Koushanfar1
1: University of California, San Diego, 2: University of California, San Diego, University of Michigan, Ann Arbor, 3: University of Illinois Urbana-Champaign
Spoofing Eavesdroppers with Audio Misinformation
Zhambyl Shaikhanov1, Mahmoud Al-Madi2, Hou-Tong Chen3, Chun-Chieh Chang3, Sadhvikas Addamane4, Daniel M. Mittleman5, Edward Knightly2
1: University of Maryland, 2: Rice University, 3: Los Alamos National Laboratory, 4: Sandia National Laboratories, 5: Brown University
EvilHarmony: Stealthy Adversarial Attacks against Black-box Speech Recognition Systems
Xuejing Yuan1,2, Jiangshan Zhang2, Feng Guo3, Kai Chen2, XiaoFeng Wang4, Shengzhi Zhang5, Yuxuan Chen3, Dun Liu5, Pan Li2, Zihao Wang6, Runnan Zhu7
1: Beijing University of Posts and Telecommunications, 2: State Key Laboralory of Cyberspace Security Defense, Instiute of Information Engineering, CAS, China, 3: School of Cyber Science and Technology, Shandong University, 4: Indiana University Bloomington, USA, 5: Department of Computer Science, Metropolitan College, Boston University, USA, 6: Indiana University Bloomington, 7: School of Cyberspace Security, Beijing University of Posts and Telecommunications
Investigating Physical Latency Attacks against Camera-based Perception
Raymond Muller1, Ruoyu Song1, Chenyi Wang2, Yuxia Zhan3, Jean-Philippe Monteuuis4, Yanmao Man5, Ming Li2, Ryan Gerdes6, Jonathan Petit4, Z. Berkay Celik1
1: Purdue University, 2: University of Arizona, 3: New York University, 4: Qualcomm Technologies Inc., 5: HERE Technologies, Inc., 6: Virginia Tech