Demo Data from SIGIR 2026 / reviewers in the wild / expert
Harjot Kaur
dblp:139/0822
· DBLP profile ↗
5ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0001-5657-9750ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 4 · 2 first-author · 4 since 2021Artificial intelligence and machine learning · 1 · 1 first-author
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
4 papers |
Usable security · 41% Security and privacy of machine learning · 36% Cryptographic primitives and cryptanalysis · 24% | |
| Software engineering, system software, and programming languages
3 papers |
Requirements engineering and software design · 67% Empirical software engineering · 33% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis › cryptographic implementation
cryptographic software |
0.9 | 1 | 2025 | "That's my perspective from 30 years of doing this": An Interview Study on Practices, Experiences, and Challenges of Updating Cryptographic Code · USENIX Security Symposium 2025 |
Security and privacy of machine learning
adversarial defense |
0.7 | 1 | 2023 | "Security is not my field, I'm a stats guy": A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry · USENIX Security Symposium 2023 |
Security and privacy of machine learning
adversarial machine learning |
0.7 | 1 | 2023 | "Security is not my field, I'm a stats guy": A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry · USENIX Security Symposium 2023 |
Usable security › organizational security
security practitioner studies |
0.7 | 1 | 2023 | "Security is not my field, I'm a stats guy": A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry · USENIX Security Symposium 2023 |
Empirical software engineering
developer studies |
0.4 | 2 | 2025 | "That's my perspective from 30 years of doing this": An Interview Study on Practices, Experiences, and Challenges of Updating Cryptographic Code · USENIX Security Symposium 2025 Where to Recruit for Security Development Studies: Comparing Six Software Developer Samples · USENIX Security Symposium 2022 |
Methods — techniques the papers use, named apart from their topics
interviews · 2.4qualitative study · 1.7interview study · 1.7survey methodology · 1.1qualitative root cause analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | "Threat modeling is very formal, it's very technical, and also very hard to do correctly": Investigating Threat Modeling Practices in Open-Source Software Projects
Harjot Kaur, Carson Powers, Ronald E. Thompson III, Sascha Fahl, Daniel Votipka |
USENIX Security Symposium | 1 |
| 2025 | "That's my perspective from 30 years of doing this": An Interview Study on Practices, Experiences, and Challenges of Updating Cryptographic Code
Alexander Krause 0002, Harjot Kaur, Jan H. Klemmer, Oliver Wiese, Sascha Fahl |
USENIX Security Symposium | 2 |
| 2023 | "Security is not my field, I'm a stats guy": A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry
Jaron Mink, Harjot Kaur, Juliane Schmüser, Sascha Fahl, Yasemin Acar |
USENIX Security Symposium | 2 |
| 2022 | Where to Recruit for Security Development Studies: Comparing Six Software Developer Samples
Harjot Kaur, Sabrina Klivan, Daniel Votipka, Yasemin Acar, Sascha Fahl |
USENIX Security Symposium | 1 |
| 2020 | Measuring the complexity of migration transition: an attempt using metricsabstractMigration transition occurring in artificial agent societies is one of the vital transitions which is responsible for their development and growth in addition to fertility and mortality transitions occurring in them. The migration transition introduces while its realisation, into a society or societies, a set of macro, micro, and meso-level dynamics depending upon whether migration process is realised externally (at inter-societal level), internally (at intra-societal level), or at coalition (group level). In this paper, a set of software measurements (called migration metrics) are proposed to measure the complexity and dynamics existing in the vital migration transition in artificial agent societies at macro (inter-societal) level. The proposed set of metrics measure the dynamics of migration transition by measuring population distribution, change and structuring during realisation and perpetuation of migration transition in artificial agent societies at run-time. Furthermore, a set of dynamic software measurements (called population metrics) are proposed in this paper, which is used to measure the population count and complexity of fertility and mortality transitions occurring in artificial agent societies. The above-proposed sets of metric suites are then verified and validated by using case studies modelled in a dual-unit artificial world in NetLogo. Harjot Kaur, Karanjeet Singh Kahlon |
J. Exp. Theor. Artif. Intell. | 1 |