Demo Data from VLDB 2026 / reviewers in the wild / expert
Ali Teymourian
dblp:400/0829
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0009-5348-6845ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 |
Cyber-physical and IoT security · 74% Usable security · 26% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
mixed reality interaction |
1.0 | 1 | 2026 | Liar, Liar, Headset on Fire: Understanding the Effects of Deception Attacks on Decision-Making in a Mixed Reality Game · CHI 2026 |
Cyber-physical and IoT security
deception attacks |
0.9 | 1 | 2025 | SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework · USENIX Security Symposium 2025 |
Virtual and augmented reality
mixed reality |
0.3 | 1 | 2025 | SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework · USENIX Security Symposium 2025 |
Methods — techniques the papers use, named apart from their topics
deception attacks · 2.0controlled experiment · 2.0ontology · 1.7information theory · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Liar, Liar, Headset on Fire: Understanding the Effects of Deception Attacks on Decision-Making in a Mixed Reality GameabstractWe examine the impact of deception in Mixed Reality (MR), focusing on how subversive elements affect user behavior and decision-making. In a controlled experiment with 250 participants playing a Whac-A-Mole MR game, we introduced three types of deception attacks: (1) a Physiological Spoofing Attack intended to foster false beliefs about bodily state; (2) a Gaslighting Attack that evokes false interpretations about bodily state by inducing doubt; and (3) a Disinformation Attack that presents false information by mimicking game- and system-level notifications to influence decision-making. We measured the effects on game performance, cognitive load, and behavioral responses. Results reveal that Physiological Spoofing and Gaslighting Attacks led to behavioral adjustments, though these effects diminished over time. Alternatively, false information presented in the Disinformation Attack adversely influenced decision-making. Our findings highlight the vulnerability of MR users to deception attacks and emphasize the need for adaptive security measures to mitigate these risks. Ali Teymourian, Taha Gharaibeh, Ibrahim M. Baggili, Andrew M. Webb 0001 |
CHI | 1 |
| 2025 | SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework
Ali Teymourian, Andrew M. Webb 0001, Taha Gharaibeh, Arushi Ghildiyal, Ibrahim M. Baggili |
USENIX Security Symposium | 1 |