Email: piotr.syga@pwr.edu.pl

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Sztucznej Inteligencji

Plac Grunwaldzki 11a (bud. D-21)
PL 50-370 Wroclaw
Poland
Pokój: 232

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Wybrane publikacje
1	Referat konferencyjny 2024 Dawid Wolkiewicz, Piotr Syga, Image-based soundtrack generation with diffusion model. W: Proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI’2024) : 5th Polish Conference on Artificial Intelligence, 18-20.04.2024 Warsaw, Poland / red. Jacek Madziuk, Adam Żychowski, Mikołaj Małkiński. Warsaw University of Technology : Warszawa, 2024. s. 438-444. ISBN: 978-83-8156-696-4; 978-83-8156-697-1 Zasoby:URL
2	Referat konferencyjny 2024 Nicolas M Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger, MLAAD: The multi-language audio anti-spoofing dataset. W: 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 30 June 2024 - 05 July 2024 : conference proceedings. Danvers, MA : IEEE, cop. 2024. s. 1-7. ISBN: 979-8-3503-5931-2 Zasoby:DOIURL
3	Artykuł 2024 Katarzyna Fojcik, Piotr Syga, Marek Klonowski, Extremely compact video representation for efficient near-duplicates detection. Pattern Recognition. 2024, art. 111016, s. 1-35. ISSN: 0031-3203; 1873-5142 Zasoby:DOIURL
4	Referat konferencyjny 2024 Tymoteusz Lindner, Tomasz Hawro, Piotr Syga, Imperceptible QR watermarks in high-resolution videos. W: Proceedings of the 21st International Conference on Security and Cryptography [SECRYPT 2024]. Vol 1 / eds. Sabrina De Capitani Di Vimercati, Pierangela Samarati. [Setúbal : SCITEPRESS - Science and Technology Publications, 2024]. s. 310-322. ISBN: 978-989-758-709-2 Zasoby:DOIURL
5	Referat konferencyjny 2023 Mateusz Gniewkowski, Paweł T Walkowiak, Piotr Syga, Marek Klonowski, Tomasz Walkowiak, Do Not Trust Me: explainability against text classification. W: ECAI 2023 : 26th European Conference on Artificial Intelligence : September 30–October 4, 2023, Kraków, Poland : Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023) : proceedings / eds. Kobi Gal [i in.]. Amsterdam : IOS Press, cop. 2023. s. 875-882. ISBN: 978-1-64368-436-9; 978-1-64368-437-6 Zasoby:DOIURLSFX
6	Referat konferencyjny 2023 Piotr Kawa, Marcin Plata, Michał J Czuba, Piotr Szymański, Piotr Syga, Improved DeepFake detection using Whisper features. W: Interspeech 2023 : Dublin, Ireland 20-24 August 2023 / eds. Naomi Harte, Julie Carson-Berndsen, Gareth Jones. [B.m.] : International Speech Communication Association, cop. 2023. s. 4009-4013. Zasoby:DOIURL
7	Referat konferencyjny 2023 Piotr Kawa, Marcin Plata, Piotr Syga, Defense against adversarial attacks on audio DeepFake detection. W: Interspeech 2023 : Dublin, Ireland 20-24 August 2023 / eds. Naomi Harte, Julie Carson-Berndsen, Gareth Jones. [B.m.] : International Speech Communication Association, cop. 2023. s. 5276-5280. Zasoby:DOIURL
8	Referat konferencyjny 2023 Dominik Bojko, Marek Klonowski, Mateusz Marciniak, Piotr Syga, On size hiding protocols in beeping model. W: Euro-Par 2023: Parallel Processing : 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023 : Proceedings / eds. José Cano [i in.]. Cham : Springer, cop. 2023. s. 518-532. ISBN: 978-3-031-39697-7; 978-3-031-39698-4 Zasoby:DOIURLSFX
9	Referat konferencyjny 2022 Piotr Kawa, Marcin Plata, Piotr Syga, SpecRNet: Towards faster and more accessible audio DeepFake detection. W: 2022 IEEE 21st International Conference on Trust, Security and Privacy in Computing and Communications : TrustCom 2022 : Wuhan, China, 9-11 December 2022 : proceedings. Danvers, MA : IEEE, cop. 2022. s. 792-799. ISBN: 978-1-6654-9425-0 Zasoby:DOI
10	Referat konferencyjny 2022 Piotr Kawa, Marcin Plata, Piotr Syga, Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection. W: Interspeech 2022 : Human and Humanizing Speech Technology, 18-22 September 2022, Incheon, Korea. [Baixas] : International Speech Communication Association, cop. 2022. s. 4023-4027. Zasoby:DOIURL

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