Kirill Trapeznikov

21 papers A* 1A 3C 3Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 C conf
SAFE: Synthetic Audio Forensics Evaluation Challenge.
IH&MMSec
Kirill Trapeznikov, Paul Cummer, Pranay Pherwani, Jai Aslam, Michael Davinroy, Peter Bautista, Laura Cassani, Matthew C. Stamm
2025 J jnl
Synthetic Audio Forensics Evaluation (SAFE) Challenge.
CoRR
Kirill Trapeznikov, Paul Cummer, Pranay Pherwani, Jai Aslam, Michael Davinroy, Peter Bautista, Laura Cassani, Matthew C. Stamm, Jill Crisman
2024 A* conf
Defending Against Social Engineering Attacks in the Age of LLMs.
EMNLP
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg
2024 J jnl
Defending Against Social Engineering Attacks in the Age of LLMs.
CoRR
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg
2023 C conf
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools.
IH&MMSec
Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm
2023 J jnl
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools.
CoRR
Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm
2023 J jnl
Stylometric Detection of AI-Generated Text in Twitter Timelines.
CoRR
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu
2022 J jnl
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools.
CoRR
Brian DeCann, Kirill Trapeznikov
2015 — conf
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction.
NIPS
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2015 J jnl
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction.
CoRR
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2015 J jnl
Sensor Selection by Linear Programming.
CoRR
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2014 A conf
An LP for Sequential Learning Under Budgets.
AISTATS
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2014 Misc conf
Fast margin-based cost-sensitive classification.
ICASSP
Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2014 — conf
Model Selection by Linear Programming.
ECCV (2)
Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama
2013 J jnl
Multi-stage classifier design.
Mach. Learn.
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2013 — conf
Online local linear classification.
CAMSAP
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2013 A conf
Supervised Sequential Classification Under Budget Constraints.
AISTATS
Kirill Trapeznikov, Venkatesh Saligrama
2012 J jnl
Cost Sensitive Sequential Classification
CoRR
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2012 C conf
Multi-Stage Classifier Design.
ACML
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2012 — conf
Two stage decision system.
SSP
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2011 A conf
Active Boosted Learning (ActBoost).
AISTATS
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón