Built-in Vulnerabilities to Imperceptible Adversarial Perturbations. - Thomas Tanay; Jerone T. A. Andrews; Lewis D. Griffin (CoRR, 2018)

Representation learning for anomaly detection in computer vision. - Jerone Theodore Alexander Andrews (2018)

Multiple-Identity Image Attacks Against Face-based Identity Verification. - Jerone T. A. Andrews; Thomas Tanay; Lewis D. Griffin (CoRR, 2019)

"Unexpected Item in the Bagging Area": Anomaly Detection in X-Ray Security Images. - Lewis D. Griffin; Matthew Caldwell; Jerone T. A. Andrews; Helene Bohler (IEEE Trans. Inf. Forensics Secur., 2019)

Conditional Adversarial Camera Model Anonymization. - Jerone T. A. Andrews; Yidan Zhang; Lewis D. Griffin (ECCV Workshops (4), 2020)

Camera Model Anonymisation with Augmented cGANs. - Jerone T. A. Andrews; Yidan Zhang; Lewis D. Griffin (CoRR, 2020)

I call BS: Fraud Detection in Crowdfunding Campaigns. - Beatrice Perez; Sara R. Machado; Jerone Theodore Alexander Andrews; Nicolas Kourtellis (WebSci, 2022)

Augmented Datasheets for Speech Datasets and Ethical Decision-Making. - Orestis Papakyriakopoulos; Anna Seo Gyeong Choi; William Thong; Dora Zhao; Jerone Theodore Alexander Andrews; Rebecca Bourke; Alice Xiang; Allison Koenecke (FAccT, 2023)

A View From Somewhere: Human-Centric Face Representations. - Jerone Theodore Alexander Andrews; Przemyslaw Joniak; Alice Xiang (ICLR, 2023)

Men Also Do Laundry: Multi-Attribute Bias Amplification. - Dora Zhao; Jerone Theodore Alexander Andrews; Alice Xiang (ICML, 2023)

Ethical Considerations for Responsible Data Curation. - Jerone Theodore Alexander Andrews; Dora Zhao; William Thong; Apostolos Modas; Orestis Papakyriakopoulos; Alice Xiang (NeurIPS, 2023)

Ethical Considerations for Collecting Human-Centric Image Datasets. - Jerone T. A. Andrews; Dora Zhao; William Thong; Apostolos Modas; Orestis Papakyriakopoulos; Shruti Nagpal; Alice Xiang (CoRR, 2023)

Efficient Bias Mitigation Without Privileged Information. - Mateo Espinosa Zarlenga; Swami Sankaranarayanan; Jerone T. A. Andrews; Zohreh Shams; Mateja Jamnik; Alice Xiang (ECCV (72), 2024)

Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes. - Yusuke Hirota; Jerone Theodore Alexander Andrews; Dora Zhao; Orestis Papakyriakopoulos; Apostolos Modas; Yuta Nakashima; Alice Xiang (EMNLP, 2024)

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. - Zhaotian Weng; Zijun Gao; Jerone Theodore Alexander Andrews; Jieyu Zhao 001 (EMNLP, 2024)

Position: Measure Dataset Diversity, Don't Just Claim It. - Dora Zhao; Jerone T. A. Andrews; Orestis Papakyriakopoulos; Alice Xiang (ICML, 2024)

A Taxonomy of Challenges to Curating Fair Datasets. - Dora Zhao; Morgan Klaus Scheuerman; Pooja Chitre; Jerone Theodore Alexander Andrews; Georgia Panagiotidou; Shawn Walker; Kathleen H. Pine; Alice Xiang (NeurIPS, 2024)

GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data. - Zhiteng Li; Lele Chen; Jerone T. A. Andrews; Yunhao Ba; Yulun Zhang 001; Alice Xiang (ICLR, 2025)