posted by user: walteranelli || 4108 views || tracked by 4 users: [display]

AdveRSe 2021 : 1st International Workshop on Adversarial Machine Learning for Recommendation and Search @ CIKM2021

FacebookTwitterLinkedInGoogle

Link: https://sisinflab.github.io/adverse2021/
 
When Nov 1, 2021 - Nov 5, 2021
Where Online Hosted in Gold Coast, Queensland,
Abstract Registration Due Jul 3, 2021
Submission Deadline Jul 10, 2021
Notification Due Aug 10, 2021
Categories    machine learning   information retrieval   adversarial learning   computer vision
 

Call For Papers

Call for Papers "The 1st International Workshop on Adversarial Machine Learning for Recommendation and Search (AdveRSe 2021)"

WebSite: https://sisinflab.github.io/adverse2021/cfp/
Date: 1-5 November 2021, Online Hosted in Gold Coast, Queensland, Australia

Abstract Submission deadline: July 3rd, 2021, 2021 AoE
Paper Submission deadline: July 10th, 2021, 2021 AoE


[Scope]
Recently, research in adversarial machine learning has brought to light important potential security issues with systems that people use on a daily basis for search and discovery. While adversarial examples are well understood in computer vision tasks, the harmful effects of the malicious application of machine learning are less well-understood in information retrieval and recommendation systems. The issues include: injection of adversarial-crafted fake users, adversarial perturbation of multimedia data in training sets or background collections, and adversarial structural noise on graph structure in order to improve search and recommendation in real-world environments, research is necessary that will allow us to discover, understand, and control the adverse impact of adversarial machine learning. In this workshop, we aim to bring together researchers from the fields of adversarial machine learning, information retrieval, and recommender systems to discuss recent advances and research directions that could be further exploited to broaden the frontier in the field.

The purpose of the 1st International Workshop on Adversarial Machine Learning for Recommendation and Search (AdveRSe 2021) is to provide a meeting forum for stimulating and disseminating research in Adversarial Machine Learning for Recommendation and Search Systems, where researchers can network and discuss their research results in an informal way.
The Half-Day Workshop will take place online on November 1-5, 2021 in conjunction with the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), hosted in Gold Coast, Queensland, Australia.

[Submission Guidelines]

Submissions of full research papers must be in English, in PDF format in the CEUR-WS two-column conference format available at CEURART or at OVERLEAF TEMPLATE if an Overleaf is preferred.
• Long Papers should report on substantial contributions of lasting value. The Long papers must have a length of minimum 6 and maximum 8 pages (plus an unlimited number of pages for references). Each accepted long paper will be included in the CEUR on-line Workshop proceedings and presented in a plenary session as part of the Workshop program.
• Short/Position Papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. Applications of adversarial learning in recommendation and search systems to novel areas are especially welcome. The Short Papers must have a length of minimum 3 and maximum 5 pages (plus an unlimited number of pages for references). Each accepted long paper will be included in the CEUR on-line Workshop proceedings and presented in a plenary session as part of the Workshop program

To be considered, papers must be received by the submission deadline (see Important Dates). The short and long papers review process is double-blind. The authors must anonymize their submissions. Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop. Short and long paper submissions must be original work and may not be under submission to other venues at the time of review (authors can upload to institutional or other preprint repositories such as arXiv.org before reviewing is complete).

[Topics]
AdveRSe 2021 offers an opportunity to present and discuss both theoretical and empirical research. Relevant topics include, but are not restricted to:
• Theory and algorithms for AML in search and recommendation
◦ Attacks on images, videos, audio signals, and text
◦ Attacks on model parameters with gradient methods
◦ Attacks by generating of fake profiles, e.g., customer one-commerce platforms
◦ Attacks crafted with generative adversarial networks
◦ Real-world attack scenarios–Other attack techniques
• Theory and algorithms for defending with AML in search and recommendation
◦ Robust optimization methods
◦ Adversarial training strategies
◦ Robustness certification
◦ Generative adversarial networks to protect from adversarial attacks
◦ Data augmentation with adversarial training
◦ Datasets for evaluating model robustness
• Evaluation of Adversarial Attacks and Defences in search and recommendation
◦ Offline evaluation measures and protocols
◦ Online evaluation measures and protocols
◦ Advanced applications (Trustworthy ML) for search and recommendation
◦ Fairness
◦ Privacy
◦ Federated machine learning
◦ Explainable machine learning models
◦ Causal and Counterfactual reasoning

[Important Dates]
• Submission website opens: May 26, 2021
• Abstract registration deadline: July 3, 2021
• Submission deadline: July 10, 2021
• Notification of acceptance: August 10, 2021
• Camera ready deadline: TBA
• AdvRSe 2021: November 1-5, 2021

[Organizers]
• Battista, Biggio, University of Cagliari, Italy, battista.biggio@diee.unica.it
• Felice Antonio, Merra, Politecnico di Bari, Italy, felice.merra@poliba.it
• Julian, McAuley, UC San Diego, United States, jmcauley@eng.ucsd.edu
• Martha, Larson, Radboud University, Netherlands, m.larson@cs.ru.nl
• Tommaso,Di Noia, Politecnico di Bari, Italy, tommaso.dinoia@poliba.it
• Vito Walter, Anelli, Politecnico di Bari, Italy, vitowalter.anelli@poliba.it
• Xiangnan, He, University of Science and Technology of China, China, xiangnanhe@gmail.com
• Yashar, Deldjoo, Politecnico di Bari, Italy, yashar.deldjoo@poliba.it

[Publication]
AdveRSe2021 proceedings will be published by CEUR Workshop Proceedings.

[Venue]
The conference will be held in conjunction with the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), hosted in Gold Coast, Queensland, Australia.

[Contact]
All questions about submissions should be emailed to the contact authors
• Felice Antonio, Merra, Politecnico di Bari, Italy, felice.merra@poliba.it
• Tommaso,Di Noia, Politecnico di Bari, Italy, tommaso.dinoia@poliba.it

Related Resources

IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
CMCA 2022   11th International Conference on Control, Modelling, Computing and Applications
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
SIGIR 2022   The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
ISIR-eCom 2022   INTERACTIVE AND SCALABLE INFORMATION RETRIEVAL METHODS FOR ECOMMERCE ((conjunction with WSDM 2022)
IEEE COINS 2022   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems |
ICML 2022   39th International Conference on Machine Learning
MLDM 2022   18th International Conference on Machine Learning and Data Mining
WSDM 2021   14th ACM Conference on Web Search and Data Mining