SVPis 2024 invites submissions on, but not limited to, the following topics:
- Adversarial Attacks on Neural Networks for Visual Data
- Adversarial Vulnerabilities in Vision Transformers
- Adversarial Vulnerabilities in Generative Models and Multi-Modal LLMs / LVMs
- Physical-world Adversarial Attacks
- Adversarial Attacks on Forensic Classifiers and Deepfake Detectors
- Defenses against Adversarial Attacks
- Backdoor Attacks and Defenses
- Cost-efficient input-level defenses against adversarial and backdoor attacks
- Certified Defenses
- Robustness Evaluation Metrics and Benchmarks
- Deep Learning Privacy
- Homomorphic Encryption for Collaborative Model Training
Important Dates:
- Poster Submission Deadline: June 27, 2024
- Poster Acceptance Notification: July 02, 2024
- Author Registration Deadline: July 11, 2024
- Conference / Workshop Dates: October 27 – 30, 2024
Submission Guidelines
- Authors are invited to submit a 1-2 page proposal that describes the main contributions of the poster to the ICIP SPVis Workshop.
- Proposals should contain a brief abstract, demonstrate the motivation for the work, and summarize contributions being presented.
- Preliminary results may also be included. The submitted proposals will be evaluated primarily on their potential to stimulate interesting discussions, facilitate the exchange of ideas, and promote collaborations.
- Authors of accepted poster proposals will receive instructions for preparing the posters in an e-poster session format.
- Proposals are not blinded, and must contain the authors’ names, affiliations, and contact information.
- All poster titles must begin with the keyword “POSTER:”. Submissions should be sent to the Poster Chair via the email listed below.
- All submissions must designate a single corresponding author. At least one presenter per accepted poster must register for the ICIP SPVis Workshop.
- The poster will not be included in the ICIP proceedings, and authors reserve the right to submit the work elsewhere.
Poster Chair
Alberto Marchisio (Research Team Leader, eBRAIN Lab, NYU Abu Dhabi)
Submit to email: alberto.marchisio@nyu.edu