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Journal Articles
- 2023
[j2]Wiebke Toussaint Hutiri
, Aaron Yi Ding, Fahim Kawsar, Akhil Mathur:
Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows. ACM Trans. Softw. Eng. Methodol. 32(6): 155:1-155:37 (2023)- 2020
- [j1]Wiebke Toussaint, Deshendran Moodley:
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa. South Afr. Comput. J. 32(2) (2020)
Conference and Workshop Papers
- 2024
- [c9]Wiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang:
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. FAccT 2024: 359-376 - 2023
- [c8]Casandra Rusti, Anna Leschanowsky, Carolyn Quinlan, Michaela Pnacekova, Lauriane Gorce, Wiebke Toussaint Hutiri:
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research. IJCB 2023: 1-10 - 2022
- [c7]Wiebke Toussaint Hutiri, Aaron Yi Ding:
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. SCC 2022: 239-248 - [c6]Wiebke Toussaint Hutiri, Aaron Yi Ding:
Bias in Automated Speaker Recognition. FAccT 2022: 230-247 - [c5]Wiebke Toussaint, Lauriane Gorce, Aaron Yi Ding:
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets. INTERSPEECH 2022: 1293-1297 - 2021
- [c4]Wiebke Toussaint, Akhil Mathur, Aaron Yi Ding, Fahim Kawsar:
Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning. SenSys 2021: 439-445 - 2020
- [c3]Wiebke Toussaint, Aaron Yi Ding:
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. CogMI 2020: 177-184 - [c2]Wiebke Toussaint, Deshendran Moodley:
Identifying optimal clustering structures for residential energy consumption patterns using competency questions. SAICSIT 2020: 66-73 - 2019
- [c1]Wiebke Toussaint, Deshendran Moodley:
Comparison of clustering techniques for residential load profiles in South Africa. FAIR 2019: 117-132
Informal and Other Publications
- 2024
- [i13]Wiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang:
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. CoRR abs/2402.01708 (2024) - [i12]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- [i11]Casandra Rusti, Anna Leschanowsky, Carolyn Quinlan, Michaela Pnacek, Lauriane Gorce, Wiebke Hutiri:
About Voice: A Longitudinal Study of Speaker Recognition Dataset Dynamics. CoRR abs/2304.03858 (2023) - 2022
- [i10]Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding:
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows. CoRR abs/2201.07677 (2022) - [i9]Wiebke Toussaint, Aaron Yi Ding:
Bias in Automated Speaker Recognition. CoRR abs/2201.09486 (2022) - [i8]Wiebke Toussaint Hutiri, Lauriane Gorce, Aaron Yi Ding:
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets. CoRR abs/2204.02281 (2022) - [i7]Wiebke Toussaint Hutiri, Aaron Yi Ding:
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. CoRR abs/2206.09523 (2022) - 2021
- [i6]Wiebke Toussaint, Alejandra Gómez Ortega, Jered Vroon, Julian Harty, Gürkan Solmaz, Olya Kudina, Ella Peltonen, Jacky Bourgeois, Aaron Yi Ding:
Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management. CoRR abs/2106.14975 (2021) - [i5]Wiebke Toussaint, Aaron Yi Ding:
SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification. CoRR abs/2107.12049 (2021) - 2020
- [i4]Wiebke Toussaint, Deshendran Moodley:
Using competency questions to select optimal clustering structures for residential energy consumption patterns. CoRR abs/2006.00934 (2020) - [i3]Wiebke Toussaint, Dave Van Veen, Courtney Irwin, Yoni Nachmany, Manuel Barreiro-Pérez, Elena Díaz-Peláez, Sara Guerreiro de Sousa, Liliana Millán, Pedro L. Sánchez, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Pedro Ignacio Dorado-Díaz, Víctor Vicente-Palacios:
Design Considerations for High Impact, Automated Echocardiogram Analysis. CoRR abs/2006.06292 (2020) - [i2]Wiebke Toussaint, Deshendran Moodley:
Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa. CoRR abs/2006.07197 (2020) - [i1]Wiebke Toussaint, Aaron Yi Ding:
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. CoRR abs/2012.00419 (2020)
Coauthor Index
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