Martha A. Larson

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 111

Top Venues

Publications

Mingliang Liang, Martha A. Larson
Centered Masking for Language-Image Pre-Training. CoRR (2024)
Mingliang Liang, Zhouran Liu, Martha A. Larson
Mutant Texts: A Technique for Uncovering Unexpected Inconsistencies in Large-Scale Vision-Language Models. MMM (4) (2024)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Adversarial Image Color Transformations in Explicit Color Filter Space. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. ICML (2023)
Natalie Hollain, Martha A. Larson, Floris Roelofsen
Distractor-Based Evaluation of Sign Spotting. ICASSP Workshops (2023)
Xiaomeng Wang, Mingliang Liang, Martha A. Larson
Investigating the Performance of the CLIP Model and Concept Matching in Text-Image Retrieval Systems. MediaEval (2023)
Mingliang Liang, Martha A. Larson
Subsampling of Frequent Words in Text for Pre-training a Vision-Language Model. LGM3A@MM (2023)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
Exploring Privacy-Preserving Techniques on Synthetic Data as a Defense Against Model Inversion Attacks. ISC (2023)
Javier Martinez Rodriguez, Martha A. Larson, Louis ten Bosch
Exploring the Importance of Sign Language Phonology for a Deep Neural Network. ESANN (2023)
Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson
Beyond Neural-on-Neural Approaches to Speaker Gender Protection. ICASSP (2023)
Mingliang Liang, Zhuoran Liu, Martha A. Larson
Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching. MMM (1) (2023)
Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson
Beyond Neural-on-Neural Approaches to Speaker Gender Protection. CoRR (2023)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. CoRR (2023)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. CoRR (2023)
Zhengyu Zhao, Nga Dang, Martha A. Larson
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images. MMM (2) (2023)
Danny Stax, Manel Slokom, Martha A. Larson
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews. CoRR (2022)
Manel Slokom, Özlem Özgöbek, Martha A. Larson
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation. CoRR (2022)
Mingliang Liang, Martha A. Larson
Textual Concept Expansion for Text-Image Matching within Online News Content. MediaEval (2022)
Zhengyu Zhao, Nga Dang, Martha A. Larson
Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments. CoRR (2022)
Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson
NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. MMSys (2022)
Jane Arleth Dela Cruz, Iris Hendrickx, Martha A. Larson
Understanding Fine-tuned BERT Models for Flood Location Extraction on Twitter Data. MediaEval (2022)
Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Generative Poisoning Using Random Discriminators. CoRR (2022)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. PSD (2022)
Manel Slokom, Martha A. Larson
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems. CoRR (2021)
Martha A. Larson, Nelleke Oostdijk, Frederik J. Zuiderveen Borgesius
Not Directly Stated, Not Explicitly Stored: : Conversational Agents and the Privacy Threat of Implicit Information. UMAP (Adjunct Publication) (2021)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. NeurIPS (2021)
Mingliang Liang, Martha A. Larson
Exploring a Pre-trained Model for Re-Matching News Texts and Images. MediaEval (2021)
Manel Slokom, Alan Hanjalic, Martha A. Larson
Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles. Inf. Process. Manag. 58 (6) (2021)
Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. CoRR (2021)
Zhuoran Liu, Martha A. Larson
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. WWW (2021)
Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. NDSS (2021)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions. UMAP (2021)
Hayley Hung, Cathal Gurrin, Martha A. Larson, Hatice Gunes, Fabien Ringeval, Elisabeth André, Louis-Philippe Morency
Social Signals and Multimedia: Past, Present, Future. ACM Multimedia (2021)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg
Pixel Privacy: Quality Camouflage for Social Images. MediaEval (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. BMVC (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. CoRR (2020)
Manel Slokom, Martha A. Larson, Alan Hanjalic
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding. CoRR (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
A Differentiable Color Filter for Generating Unrestricted Adversarial Images. CoRR (2020)
Zhuoran Liu, Martha A. Larson
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. CoRR (2020)
Martha A. Larson
Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract. OHARS@RecSys (2020)
Nelleke Oostdijk, Hans van Halteren, Erkan Basar, Martha A. Larson
The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis. LREC (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. CVPR (2020)
Klaus-Michael Lux, Maya Sappelli, Martha A. Larson
Truth or Error? Towards systematic analysis of factual errors in abstractive summaries. Eval4NLP (2020)
Susanne Boll, Hari Sundram, Svetha Venkatesh, Martha A. Larson, Mohan S. Kankanhalli
The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future. ACM Multimedia (2020)
Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. CoRR (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. CoRR (2020)
Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth
Remembering winter was coming. CoRR (2019)
Simon Brugman, Martha A. Larson
Scene Change Task: Take me to Paris. MediaEval (2019)
Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov
The Multimedia Satellite Task at MediaEval 2019. MediaEval (2019)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval. ICMR (2019)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. MediaEval (2019)
Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth
Remembering winter was coming - Character-oriented video summaries of TV series. Multim. Tools Appl. 78 (24) (2019)
Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines. ACM Trans. Inf. Syst. 37 (2) (2019)
Odette Scharenborg, Nikki van der Gouw, Martha A. Larson, Elena Marchiori
The Representation of Speech in Deep Neural Networks. MMM (2) (2019)
Sam Sweere, Zhuoran Liu, Martha A. Larson
Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance. MediaEval (2019)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. CoRR (2019)
Jaeyoung Choi, Martha A. Larson, Gerald Friedland, Alan Hanjalic
From Intra-Modal to Inter-Modal Space: Multi-task Learning of Shared Representations for Cross-Modal Retrieval. BigMM (2019)
Martha A. Larson, Manel Slokom
Up Close, but not too Personal: Hypotargeting for Recommender Systems. ImpactRS@RecSys (2019)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. CoRR (2019)
Christopher Strucks, Manel Slokom, Martha A. Larson
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. RMSE@RecSys (2019)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia (2019)
Manel Slokom, Martha A. Larson, Alan Hanjalic
Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. RecSys (Late-Breaking Results) (2019)
Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch
6th International Workshop on News Recommendation and Analytics (INRA 2018). CIKM Workshops (2018)
Karthik Yadati, Martha A. Larson, Cynthia C. S. Liem, Alan Hanjalic
Detecting Socially Significant Music Events Using Temporally Noisy Labels. IEEE Trans. Multim. 20 (9) (2018)
Babak Loni, Martha A. Larson, Alan Hanjalic
Factorization Machines for Data with Implicit Feedback. CoRR (2018)
Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Núria Sebastián, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. CoRR (2018)
Gabriela Ramírez-de-la-Rosa, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Müller, Isabelle Guyon
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. CVAUI/IWCF/MIPPSNA@ICPR (2018)
Zhengyu Zhao, Martha A. Larson
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. CoRR (2018)
Odette Scharenborg, Martha A. Larson
The Conversation Continues: the Effect of Lyrics and Music Complexity of Background Music on Spoken-Word Recognition. INTERSPEECH (2018)
Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao
Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval (2018)
Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk
Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. MediaEval (2018)
Xinchao Li, Martha A. Larson, Alan Hanjalic
Geo-Distinctive Visual Element Matching for Location Estimation of Images. IEEE Trans. Multim. 20 (5) (2018)
Simon Brugman, Maciej Wysokinski, Martha A. Larson
Exploring Three Views on Image Enhancement for Pixel Privacy. MediaEval (2018)
Zhengyu Zhao, Martha A. Larson
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia (2018)
Odette Scharenborg, Martha A. Larson
Investigating the Effect of Music and Lyrics on Spoken-Word Recognition. CoRR (2018)
Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys (2017)
Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Torben Brodt
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. CLEF (Working Notes) (2017)
Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Torben Brodt, Jonas Seiler, Özlem Özgöbek
CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education. CLEF (2017)
Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Arjen P. de Vries
A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. SIGIR (2017)
Karthik Yadati, Cynthia C. S. Liem, Martha A. Larson, Alan Hanjalic
On the Automatic Identification of Music for Common Activities. ICMR (2017)
Zhengyu Zhao, Martha A. Larson
Retrieving Social Flooding Images Based on Multimodal Information. MediaEval (2017)
Bo Wang, Martha A. Larson
Beyond Concept Detection: The Potential of User Intent for Image Retrieval. MUSA2@MM (2017)
Martha A. Larson, Mohammad Soleymani, Guillaume Gravier, Bogdan Ionescu, Gareth J. F. Jones
The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016. IEEE Multim. 24 (1) (2017)
Jaeyoung Choi, Martha A. Larson, Xinchao Li, Kevin Li, Gerald Friedland, Alan Hanjalic
The Geo-Privacy Bonus of Popular Photo Enhancements. ICMR (2017)
Maria Eskevich, Martha A. Larson, Robin Aly, Serwah Sabetghadam, Gareth J. F. Jones, Roeland Ordelman, Benoit Huet
Multimodal Video-to-Video Linking: Turning to the Crowd for Insight and Evaluation. MMM (2) (2017)
Bo Wang, Martha A. Larson
Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval. MediaEval (2017)
Yu Liang, Babak Loni, Martha A. Larson
CLEF NewsREEL 2017: Contextual Bandit News Recommendation. CLEF (Working Notes) (2017)
Rebecca Bates, Eric Fosler-Lussier, Florian Metze, Martha A. Larson, Gina-Anne Levow, Emily Mower Provost
Experiences with Shared Resources for Research and Education in Speech and Language Processing. INTERSPEECH (2016)
Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Davide Malagoli, András Serény, Till Plumbaum
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. RecSys Posters (2016)
Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys (2016)
Michael Riegler, Martha A. Larson, Concetto Spampinato, Pål Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Håkon Kvale Stensland
Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. MMSys (2016)
Benjamin Kille, Andreas Lommatzsch, Gebrekirstos G. Gebremeskel, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt, Arjen P. de Vries
Overview of NewsREEL'16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms. CLEF (2016)
Hugo Jair Escalante, Víctor Ponce-López, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Clapés, Sergio Escalera, Isabelle Guyon, Xavier Baró, Pål Halvorsen, Henning Müller, Martha A. Larson
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. ICPR (2016)
George Awad, Jonathan G. Fiscus, David Joy, Martial Michel, Alan F. Smeaton, Wessel Kraaij, Georges Quénot, Maria Eskevich, Robin Aly, Roeland Ordelman, Marc Ritter, Gareth J. F. Jones, Benoit Huet, Martha A. Larson
TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking. TRECVID (2016)
Jeroen B. P. Vuurens, Martha A. Larson, Arjen P. de Vries
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space. CoRR (2016)
Mattia Brusamento, Roberto Pagano, Martha A. Larson, Paolo Cremonesi
Explicit Elimination of Similarity Blocking for Session-based Recommendation. RecSys Posters (2016)
Jeroen B. P. Vuurens, Martha A. Larson, Arjen P. de Vries
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space. DLRS@RecSys (2016)
Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics
RecSys Challenge 2016: Job Recommendations. RecSys (2016)
Michael Riegler, Concetto Spampinato, Martha A. Larson, Carsten Griwodz, Pål Halvorsen
The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation. MediaEval (2016)
Andrew M. Demetriou, Martha A. Larson, Cynthia C. S. Liem
Go with the Flow: When Listeners Use Music as Technology. ISMIR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Martha A. Larson