Jerone T. A. Andrews

19 papers A* 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fair human-centric image dataset for ethical AI benchmarking.
Nat.
Alice Xiang, Jerone T. A. Andrews, Rebecca Bourke, William Thong, Julienne LaChance, Tiffany Georgievski, Apostolos Modas, Aida Rahmattalabbi, Yunhao Ba, Shruti Nagpal, Orestis Papakyriakopoulos, Dora Zhao, Jinru Xue, Victoria Matthews, Linxia Gong, Austin Hoag, Mircea Cimpoi, Swami Sankaranarayanan, Wiebke Hutiri, Morgan Klaus Scheuerman, Albert S. Abedi, Peter Stone, Peter R. Wurman, Hiroaki Kitano, Michael Spranger
2025 A* conf
GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data.
ICLR
Zhiteng Li, Lele Chen, Jerone T. A. Andrews, Yunhao Ba, Yulun Zhang, Alice Xiang
2025 — conf
Responsibly Training Foundation Models: Actualizing Ethical Principles for Curating Large-Scale Training Datasets in the Era of Massive AI Models.
CSCW Companion
Morgan Klaus Scheuerman, Dora Zhao, Jerone T. A. Andrews, Abeba Birhane, Q. Vera Liao, Georgia Panagiotidou, Pooja Chitre, Kathleen H. Pine, Shawn Walker, Jieyu Zhao, Alice Xiang
2024 J jnl
A Taxonomy of Challenges to Curating Fair Datasets.
CoRR
Dora Zhao, Morgan Klaus Scheuerman, Pooja Chitre, Jerone T. A. Andrews, Georgia Panagiotidou, Shawn Walker, Kathleen H. Pine, Alice Xiang
2024 — conf
Efficient Bias Mitigation Without Privileged Information.
ECCV (72)
Mateo Espinosa Zarlenga, Swami Sankaranarayanan, Jerone T. A. Andrews, Zohreh Shams, Mateja Jamnik, Alice Xiang
2024 J jnl
Efficient Bias Mitigation Without Privileged Information.
CoRR
Mateo Espinosa Zarlenga, Swami Sankaranarayanan, Jerone T. A. Andrews, Zohreh Shams, Mateja Jamnik, Alice Xiang
2024 J jnl
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective.
CoRR
Zhaotian Weng, Zijun Gao, Jerone T. A. Andrews, Jieyu Zhao
2024 A* conf
Position: Measure Dataset Diversity, Don't Just Claim It.
ICML
Dora Zhao, Jerone T. A. Andrews, Orestis Papakyriakopoulos, Alice Xiang
2024 J jnl
Position: Measure Dataset Diversity, Don't Just Claim It.
CoRR
Dora Zhao, Jerone T. A. Andrews, Orestis Papakyriakopoulos, Alice Xiang
2024 J jnl
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes.
CoRR
Yusuke Hirota, Jerone T. A. Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang
2023 J jnl
A View From Somewhere: Human-Centric Face Representations.
CoRR
Jerone T. A. Andrews, Przemyslaw Joniak, Alice Xiang
2023 J jnl
Ethical Considerations for Collecting Human-Centric Image Datasets.
CoRR
Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Shruti Nagpal, Alice Xiang
2022 J jnl
Men Also Do Laundry: Multi-Attribute Bias Amplification.
CoRR
Dora Zhao, Jerone T. A. Andrews, Alice Xiang
2020 J jnl
Camera Model Anonymisation with Augmented cGANs.
CoRR
Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin
2020 — conf
Conditional Adversarial Camera Model Anonymization.
ECCV Workshops (4)
Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin
2020 J jnl
I call BS: Fraud Detection in Crowdfunding Campaigns.
CoRR
Beatrice Perez, Sara R. Machado, Jerone T. A. Andrews, Nicolas Kourtellis
2019 J jnl
"Unexpected Item in the Bagging Area": Anomaly Detection in X-Ray Security Images.
IEEE Trans. Inf. Forensics Secur.
Lewis D. Griffin, Matthew Caldwell, Jerone T. A. Andrews, Helene Bohler
2019 J jnl
Multiple-Identity Image Attacks Against Face-based Identity Verification.
CoRR
Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin
2018 J jnl
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations.
CoRR
Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin