More Like this

1. "My face, my rules": Enabling Personalized Protection Against Unacceptable Face Editing

   https://doi.org/10.56553/POPETS-2023-0080  

   Xiao, Zhujun; Cryan, Jenna; Yao, Yuanshun; Cheo, Yi Hong; Shu, Yuanchao; Saroiu, Stefan; Zhao, Ben Y.; Zheng, Haitao (July 2023, Proceedings on Privacy Enhancing Technologies)

   Today, face editing is widely used to refine/alter photos in both professional and recreational settings. Yet it is also used to modify (and repost) existing online photos for cyberbullying. Our work considers an important open question: 'How can we support the collaborative use of face editing on social platforms while protecting against unacceptable edits and reposts by others?' This is challenging because, as our user study shows, users vary widely in their definition of what edits are (un)acceptable. Any global filter policy deployed by social platforms is unlikely to address the needs of all users, but hinders social interactions enabled by photo editing. Instead, we argue that face edit protection policies should be implemented by social platforms based on individual user preferences. When posting an original photo online, a user can choose to specify the types of face edits (dis)allowed on the photo. Social platforms use these per-photo edit policies to moderate future photo uploads, i.e., edited photos containing modifications that violate the original photo's policy are either blocked or shelved for user approval. Realizing this personalized protection, however, faces two immediate challenges: (1) how to accurately recognize specific modifications, if any, contained in a photo; and (2) how to associate an edited photo with its original photo (and thus the edit policy). We show that these challenges can be addressed by combining highly efficient hashing based image search and scalable semantic image comparison, and build a prototype protector (Alethia) covering nine edit types. Evaluations using IRB-approved user studies and data-driven experiments (on 839K face photos) show that Alethia accurately recognizes edited photos that violate user policies and induces a feeling of protection to study participants. This demonstrates the initial feasibility of personalized face edit protection. We also discuss current limitations and future directions to push the concept forward. 

   more » « less
2. My Pillow Knows My Sleep: Sleep Monitoring with Computational Fabrics in the Pillowcase

   https://doi.org/10.1145/3749550  

   Shao, Qijia; Chen, Junxiao; Leung, Ho_Man Colman; Zhao, Meiqi; Xu, Ruoyu; Liu, Jiting; García, Lisa_Maria DiSalvo; Jiang, Xiaofan; St-Onge, Marie-Pierre; Zhou, Xia (September 2025, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies)

   Sleep is a vital physiological state that significantly impacts overall health. Continuous monitoring of sleep posture, heart rate, respiratory rate, and body movement is crucial for diagnosing and managing sleep disorders. Current monitoring solutions often disrupt natural sleep due to discomfort or raise privacy and instrumentation concerns. We introduce PillowSense, a fabric-based sleep monitoring system seamlessly integrated into a pillowcase. PillowSense utilizes a dual-layer fabric design. The top layer comprises conductive fabrics for sensing electrocardiogram (ECG) and surface electromyogram (sEMG), while the bottom layer features pressure-sensitive fabrics to monitor sleep location and movement. The system processes ECG and sEMG signals sequentially to infer multiple sleep variables and incorporates an adversarial neural network to enhance posture classification accuracy. We fabricate prototypes using off-the-shelf hardware and conduct both lab-based and in-the-wild longitudinal user studies to evaluate the system's effectiveness. Across 151 nights and 912.2 hours of real-world sleep data, the system achieves an F1 score of 88% for classifying seven sleep postures, and clinically-acceptable accuracy in vital sign monitoring. PillowSense's comfort, washability, and robustness in multi-user scenarios underscore its potential for unobtrusive, large-scale sleep monitoring. 

   more » « less
3. My Friends and Hadron Physics

   https://doi.org/10.5506/APhysPolB.56.3-A2  

   Eides, MI (March 2025, Acta Physica Polonica B)

   Dmitry Diakonov, Victor Petrov, and Maxim Polyakov were my colleagues and collaborators. Mitya and Vitya were also, and maybe first of all, my close personal friends for many many years. What follows is a mixture of some recollections and a review of our joint works. 

   more » « less
4. Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings

   Wang, J; Shah, N (January 2019, AAMAS Conference proceedings)
5. Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings

   Wang, Jingyan; Shah, Nihar (January 2019, AAMAS Conference proceedings)