Demo Data from VLDB 2026 / reviewers in the wild / expert
Aditya Karlekar
dblp:240/7118
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Security and privacy · 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 |
Security and privacy of machine learning · 73% Authentication and access control · 27% | |
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 50% Trustworthy machine learning · 50% | |
| Human-computer interaction and pervasive computing
1 paper |
Accessibility and assistive technology · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Security and privacy of machine learning › adversarial attack
adversarial attacks on speech recognition |
0.7 | 1 | 2023 | Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems · NDSS 2023 |
Authentication and access control › human interactive proofs › CAPTCHA
audio CAPTCHA |
0.7 | 1 | 2023 | Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems · NDSS 2023 |
Machine learning › Trustworthy machine learning › robustness
adversarial robustness |
0.6 | 1 | 2022 | Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems · ICLR 2022 |
Natural language and speech › Speech recognition and synthesis
automatic speech recognition |
0.6 | 1 | 2022 | Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems · ICLR 2022 |
Security and privacy of machine learning
adversarial attack |
0.6 | 1 | 2022 | Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems · ICLR 2022 |
Security and privacy of machine learning › adversarial attack
transferable adversarial attack |
0.6 | 1 | 2022 | Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems · ICLR 2022 |
Accessibility and assistive technology › web accessibility
accessible authentication |
0.2 | 1 | 2023 | Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems · NDSS 2023 |
Methods — techniques the papers use, named apart from their topics
adversarial examples · 2.5automatic speech recognition attacks · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Hadi Abdullah, Aditya Karlekar, Saurabh Prasad, Muhammad Sajidur Rahman, Logan Blue, Luke A. Bauer, Vincent Bindschaedler, Patrick Traynor |
NDSS | 2 |
| 2022 | Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
Hadi Abdullah, Aditya Karlekar, Vincent Bindschaedler, Patrick Traynor |
ICLR | 2 |