Long Paper
Papers are limited to 8 pages excluding references; may include up to two additional pages for references only.
Computer Vision/CORE Unranked
6thAdvML 2026
The 6th Workshop of Adversarial Machine Learning on Computer Vision: Safety of Vision-Language Agents
The 6th Workshop on Adversarial Machine Learning (AdvML@CVPR 2026) focuses on the safety and robustness of vision-language agents—multimodal AI systems integrating perception, reasoning, and action. It aims to address emerging adversarial threats such as prompt injections, jailbreaks, and reasoning disruptions, fostering collaboration across computer vision, multimodal learning, and AI safety to build trustworthy agents for real-world applications.
Key deadlines
Verified September 9, 2026Full paper
March 8, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
March 8, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Extended Abstract
Papers are limited to 4 pages including references.
Research areas in scope
01
Research Topics
Attack and defense on vision-language agentsDatasets and benchmarks for evaluating vision-language agentsAdversarial / Jailbreak attacks on vision-language agentsImproving the robustness of agents or deep learning systemsInterpreting and understanding model robustness, especially agentic AIAdversarial attacks for social goodAlignment of vision-language agents
Policies worth checking twice
- Submissions must use the CVPR 2026 Author Kit for LaTeX/Word and follow CVPR 2026 author instructions.
- Papers must be anonymized.
- Overlength papers will be rejected without review.
- Reference pages must contain only references.
- Submitted papers must be in .pdf format.
- Authors must add Concepts and Keywords.
- Submission deadline is March 7, 2026, 23:59 UTC±0.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026