Demo Data from EDBT 2026 / reviewers in the wild / expert
Yueli Yan
dblp:331/2308
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Biometric security · 66% Cyber-physical and IoT security · 17% Systems and software security · 17% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Biometric security
face anti-spoofing |
0.7 | 1 | 2023 | Spoofing Real-world Face Authentication Systems through Optical Synthesis · SP 2023 |
Biometric security
face recognition |
0.7 | 1 | 2023 | Spoofing Real-world Face Authentication Systems through Optical Synthesis · SP 2023 |
Biometric security › biometric attack
presentation attack |
0.7 | 1 | 2023 | Spoofing Real-world Face Authentication Systems through Optical Synthesis · SP 2023 |
Systems and software security
isolation |
0.6 | 1 | 2022 | CamShield: Securing Smart Cameras through Physical Replication and Isolation · USENIX Security Symposium 2022 |
Biometric security › face recognition
face authentication |
0.2 | 1 | 2023 | Spoofing Real-world Face Authentication Systems through Optical Synthesis · SP 2023 |
Methods — techniques the papers use, named apart from their topics
optical synthesis · 0.7physical replication · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Spoofing Real-world Face Authentication Systems through Optical SynthesisabstractFacial information has been used for authentication purposes. Recent face authentication systems leverage multi-modal cameras to defeat spoofing attacks. Multimodal cameras are able to simultaneously observe the targeting people from multiple physical aspects, such as the visible, infrared, and depth domains. Known spoofing attacks are not effective in evading the detection since they cannot simulate multiple modalities at the same time.This paper presents a new class of spoofing attacks on multimodal face authentication systems. Its main idea is to forge each and every modality and then combine them together to present to the camera. The attack is realized with a special display device called Hua-pi display. It costs less than $500 and incorporates dedicated scene generators to optically reproduce multimodal scenes of an authorized user, and then synthesizes the scenes together at the camera’s view point through optical combiners to fool face authentication systems. We evaluate the risks of this attack by systematically testing it against the latest commercial face authentication products from major vendors in the field. The results not only demonstrate a successful bypass rate of 80% but also characterize the impacting factors and their feasible regions, revealing a new and realistic threat in the field. Yueli Yan, Zhice Yang |
SP | 1 |
| 2023 | Low-cost and Non-visual Labels Using Magnetic PrintingabstractThis paper presents MagCode, a new type of barcode. MagCode label is printed with magnetic ink through ordinary printers and stores data in the magnetic field. By swiping a magnetometer over it, the stored data can be extracted. Thus, unlike ordinary barcodes, MagCode does not rely on visual channels to decode, implying untapped interaction opportunities when decoding ordinary visual code is not preferred or not possible. Its application cases include an unobstructed and low-cost input interface for wearables, whose visual sensing capabilities are usually limited. Further, MagCode's patterns can be designed to be visually-undecodable and our evaluation shows that accessing its magnetic signal requires very close approximation. These properties allow for using MagCode labels to convey covert and sensitive information, such as Easter eggs in games and payment credentials in daily life. Guanhua Zhao, Yueli Yan, Zhice Yang |
Proc. ACM Hum. Comput. Interact. | 2 |
| 2022 | CamShield: Securing Smart Cameras through Physical Replication and Isolation
Yihui Yan, Yueli Yan, Huangxun Chen, Zhice Yang |
USENIX Security Symposium | 3 |