@inproceedings{leschanowsky2024dataperspective, title={A Data Perspective on Ethical Challenges in Voice Biometrics Research}, author={Anna Leschanowsky, Casandra Rusti, Carolyn Quinlan, Michaela Pnacek, Lauriane Gorce, Wiebke Hutiri}, year={2024}, booktitle={IEEE Transactions on Biometrics, Behavior, and Identity Science}, doi = {https://doi.org/10.1109/TBIOM.2024.3446846} }
@inproceedings{leschanowsky2024fairness, title={Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective Best Paper Award }, author={Anna Leschanowsky and Sneha Das}, year={2024}, booktitle={To appear in Proc. of the 4th Symposium on Security and Privacy in Speech Communication} doi = {https://doi.org/10.21437/SPSC.2024-1} }
@article{LESCHANOWSKY2024108344, title = {Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review}, journal = {Computers in Human Behavior}, pages = {108344}, year = {2024}, issn = {0747-5632}, doi = {https://doi.org/10.1016/j.chb.2024.108344}, url = {https://www.sciencedirect.com/science/article/pii/S0747563224002127}, author = {Anna Leschanowsky and Silas Rech and Birgit Popp and Tom Bäckström}, keywords = {Privacy perception, Security perception, Trust perception, Conversational AI, Systematic review}, }
@inproceedings{leschanowsky2023voice, title={Voice Anonymization for All -- Bias Evaluation of the Voice Privacy Challenge Baseline System}, author={Anna Leschanowsky and Ünal Ege Gaznepoglu and Nils Peters}, year={2024}, booktitle={Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024} doi={10.1109/ICASSP48485.2024.10447137} }
@inproceedings{rajasekhar2024speechprivacy, title={Towards Speech Privacy Assessment for Voice Assistants: Exploring Subjective and Objective Measures for Babble Noise. Best Student Paper Award }, author={Anjana Rajasekhar, Anna Leschanowsky and Nils Peters}, year={2024}, booktitle={Proc. of the 35th Conference on Electronic Speech Signal Processing (ESSV)} doi = {10.35096/othr/pub-7088} }
@inproceedings{ConversationalPrivacy2023, author = {Zahra Kolagar, Anna Leschanowsky, Birgit Popp}, title = {Experts-in-the-Loop:Establishing an Effective Workflow in Crafting Privacy Q&A} booktitle = {Conversations 2023}, year = {2023}, month = {nov}, }
@inproceedings{ConversationalPrivacy2023, author = {Anna Leschanowsky, Birgit Popp and Nils Peters}, title = {Privacy Strategies for Conversational AI and their Influence on Users’ Perceptions and Decision-Making}, booktitle = {Proc. of the European Symposium on Usable Security (EuroUSEC)}, year = {2023}, month = {oct}, doi = {10.1145/3617072.3617106} }
@inproceedings{FairEVA2023, author = {Casandra Rusti, Anna Leschanowsky, Carolyn Quinlan, Michaela Pnacekova, Lauriane Gorce, Wiebke Hutiri}, title = {Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research}, booktitle = {2023 IEEE International Joint Conference on Biometrics (IJCB)}, year = {2023}, month = {sep}, doi = {10.1109/IJCB57857.2023.10449225} }
@inproceedings{Debiasing2023, author = {Anna Leschanowsky, Birgit Popp and Nils Peters}, title = {Debiasing Strategies for Conversational AI: Improving Privacy and Security Decision- Making}, booktitle = {Digital Society}, year = {2023}, month = {sep}, doi = {10.1007/s44206-023-00062-2} }
@inproceedings{ZarconeKI2023, author = {Alessandra Zarcone and Anna Leschanowsky}, title = {Moderne Sprachassistenten zwischen Datenhunger und Datenschutz}, booktitle = {Künstliche Intelligenz und menschliche Gesellschaft}, editor = {László Kovács}, publisher = {De Gruyter Oldenbourg}, isbn = {9783111034706}, year = {2023}, month = {july}, lastchecked = {2023-06-13}, doi = {10.1515/9783111034706-012} }
@inproceedings{LeschanowskyHCII2023, author = {Anna Leschanowsky, Birgit Popp, Nils Peters}, booktitle = {Proc. of the 25th International Conference On Human-Computer Interaction}, title = {Uncertain yet rational - Uncertainty as an Evaluation Measure of Rational Privacy Decision-Making in Conversational AI}, year = {2023}, month = {july}, doi = {10.1007/978-3-031-35921-7_14}}
@inproceedings{DagstuhlPrivacyAttacks, author = {Abdullah Elbi, Anna Leschanowsky, Pierre Lison, Andreas Nautsch, Olga Ohrimenko, Laurens Sion and Marc Tommasi}, title = {Privacy Attacks}, booktitle = {Privacy in Speech and Language Technology (Dagstuhl Seminar 22342)}, year = {2023}, month = {mar}, doi = {10.4230/DagRep.12.8.60} }
@inproceedings{DagstuhlCaseStudies, author = {Zinaida Benenson, Abdullah Elbi, Zekeriya Erkin, Natasha Fernandes, Simone Fischer-Hübner, Ivan Habernal, Els Kindt, Anna Leschanowsky, Pierre Lison, Christina Lohr, Emily Mower Provost, Jo Pierson, David Stevens, Francisco Teixeira, and Shomir Wilson}, title = {Case studies and user interaction}, booktitle = {Privacy in Speech and Language Technology (Dagstuhl Seminar 22342)}, year = {2023}, month = {mar}, doi = {10.4230/DagRep.12.8.60} }
@misc{gaznepoglu_voiceprivacy_2022, title = {{VoicePrivacy} 2022 {System} {Description}: {Speaker} {Anonymization} with {Feature}-matched {F0} {Trajectories}}, copyright = {All rights reserved}, shorttitle = {{VoicePrivacy} 2022 {System} {Description}}, url = {http://arxiv.org/abs/2210.17338}, doi = {10.48550/arXiv.2210.17338}, abstract = {We introduce a novel method to improve the performance of the VoicePrivacy Challenge 2022 baseline B1 variants. Among the known deficiencies of x-vector-based anonymization systems is the insufficient disentangling of the input features. In particular, the fundamental frequency (F0) trajectories, which are used for voice synthesis without any modifications. Especially in cross-gender conversion, this situation causes unnatural sounding voices, increases word error rates (WERs), and personal information leakage. Our submission overcomes this problem by synthesizing an F0 trajectory, which better harmonizes with the anonymized x-vector. We utilized a low-complexity deep neural network to estimate an appropriate F0 value per frame, using the linguistic content from the bottleneck features (BN) and the anonymized x-vector. Our approach results in a significantly improved anonymization system and increased naturalness of the synthesized voice. Consequently, our results suggest that F0 extraction is not required for voice anonymization.}, urldate = {2022-11-02}, publisher = {arXiv}, author = {Gaznepoglu, Ünal Ege and Leschanowsky, Anna and Peters, Nils}, month = oct, year = {2022}, keywords = {Computer Science - Cryptography and Security, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing}, }
@inproceedings{leschanowsky2022adapting, title={Adapting Debiasing Strategies for Conversational AI}, author={Leschanowsky, Anna and Popp, Birgit and Peters, Nils}, booktitle={GoodBrother International Conference on Privacy-friendly and Trustworthy Technology for Society}, pages={74}, year={2022} }
@article{article, author = {Popp, Birgit and Lalone, Philip and Leschanowsky, Anna}, year = {2022}, month = {06}, pages = {}, title = {Chatbot Language - crowdsource perceptions and reactions to dialogue systems to inform dialogue design decisions}, journal = {Behavior Research Methods}, doi = {10.3758/s13428-022-01864-x} }
@inproceedings{inproceedings, author = {Leschanowsky, Anna and Brüggemeier, Birgit and Peters, Nils}, year = {2021}, month = {11}, pages = {}, title = {Design Implications for Human-Machine Interactions from a Qualitative Pilot Study on Privacy}, doi = {10.21437/SPSC.2021-16}, booktitle={Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication} }
@inproceedings{inproceedings, author = {Leschanowsky, Anna and Das, Sneha and Bäckström, Tom and Pérez Zarazaga, Pablo}, year = {2020}, month = {11}, pages = {}, booktitle={Proc. Interspeech 2020}, title = {Perception of Privacy Measured in the Crowd - Paired Comparison on the Effect of Background Noises}, doi = {10.21437/Interspeech.2020-2299} }
@inproceedings{inproceedings, author = {Dick, Sascha and Zhang, Jiandong and Qin, Yili and Schinkel-Bielefeld, Nadja and Leschanowsky, Anna and Nagel, Frederik}, year = {2018}, month = {10}, pages = {}, booktitle={Audio Engineering Society Convention 145}, title = {On the influence of cultural differences on the perception of audio coding artifacts in music} }
@article{article, author = {Schinkel-Bielefeld, Nadja and Zhang, Jiandong and Qin, Yili and Leschanowsky, Anna and Fu, Shanshan}, year = {2018}, month = {02}, pages = {60-70}, title = {Perception of Coding Artifacts by Nonnative Speakers - A Study with Mandarin Chinese and German Speaking Listeners}, volume = {66}, journal = {Journal of the Audio Engineering Society}, doi = {10.17743/jaes.2017.0042} }
@inproceedings{inproceedings, author = {Schinkel-Bielefeld, Nadja and Zhang, Jiandong and Qin, Yili and Leschanowsky, Anna and Fu, Shanshan}, year = {2017}, month = {05}, pages = {}, booktitle={Audio Engineering Society Convention 142}, title = {Is it Harder to Perceive Coding Artifacts in Foreign Language Items? –- A Study with Mandarin Chinese and German Speaking Listeners} }
@inproceedings{inproceedings, author = {Schinkel-Bielefeld, Nadja and Leschanowsky, Anna}, year = {2015}, month = {05}, pages = {}, booktitle={Audio Engineering Society Convention 138}, title = {How Much Is the Use of a Rating Scale by a Listener Influenced by Anchors and by the Listener's Experience?} }