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Valeriia Cherepanova

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

4

Active years

2020–2025

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2025AIESImproving LLM Group Fairness on Tabular Data via In-Context Learning.Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns, James Zou
2024ICMLSpotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text.Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
2023AIESA Deep Dive into Dataset Imbalance and Bias in Face Identification.Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein
2023ICLRTransfer Learning with Deep Tabular Models.Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bayan Bruss, Tom Goldstein, Andrew Gordon Wilson, Micah Goldblum
2021ICASSPStrong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff.Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta
2021ICLRLowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition.Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, Tom Goldstein
2020ICMLUnraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks.Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein