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UID:dac_DAC 2026_sess315_RESEARCH315@linklings.com
SUMMARY:Capacitive Touchscreens at Risk: Recovering Handwritten Trajectory
  on Smartphone via Electromagnetic Emanations
DESCRIPTION:Yukun Cheng, Shiyu Zhu, and Changhai Ou (Wuhan University); Xi
 ngshuo Han (Nanjing University of Aeronautics and Astronautics); Yuan Li (
 National University of Defense Technology); and Shihui Zheng (Beijing Univ
 ersity of Posts and Telecommunications)\n\nThis paper reveals and exploits
  a critical security vulnerability: the electromagnetic (EM) side channel 
 of capacitive touchscreens leaks sufficient information to recover fine-gr
 ained, continuous handwriting trajectories. We present Touchscreen Electro
 magnetic Side-channel Leakage Attack (TESLA), a non-contact attack framewo
 rk that captures EM signals generated during on-screen writing and regress
 es them into two-dimensional (2D) handwriting trajectories in real time. E
 xtensive evaluations across a variety of commercial off-the-shelf (COTS) s
 martphones show that TESLA achieves 77% character recognition accuracy and
  a Jaccard index of 0.74, demonstrating its capability to recover highly r
 ecognizable motion trajectories that closely resemble the original handwri
 ting under realistic attack conditions.\n\nTopics: Quantum\n\nTrack: DES6.
  Quantum Computing, Systems\n\nSession Chairs: Hokeun Kim (Arizona State U
 niversity); BaekGyu Kim (Daegu Gyeongbuk Institute of Science and Technolo
 gy); Xiang Chen (Peking University); Sangyeob Kim (Yonsei University); Rob
 ert M. Radway (University of Pennsylvania); Prashanth Mohan (University of
  Pittsburgh); Xiaoxuan Yang (University of Virginia, Stanford University);
  Ramtin Zand (University of South Carolina); Hadi Kamali (University of Ce
 ntral Florida); Jiafeng Xie (Villanova University); Prabuddha Chakraborty 
 (University of Maine); Junichiro Kadomoto (University of Tokyo); and Yosuk
 e Ueno (RIKEN)\n\n
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