Organizations by Tag: adversarial-example — Companies and Research Groups Focused on Adversarial Robustness, Attacks, and Defenses
Discover organizations tagged with adversarial-example to find companies, research labs, security teams, and startups building and evaluating adversarial attack and defense techniques for machine learning and deep learning systems. This curated list highlights work in adversarial training, robustness evaluation (PGD, FGSM, certified defenses), detection and mitigation pipelines, model hardening workflows, and related reproducible toolchains and benchmarks. Use the filtering UI to compare organizations by methodology, threat model, industry application, dataset benchmarks, and openness (open-source code, reproducible evaluations), and get actionable insights such as deployment-ready defensive strategies, benchmarked robustness metrics, and test suites for adversarial robustness research. Browse profiles to identify collaborators, integrate proven defenses, or commission vulnerability assessments — apply the adversarial-example tag filter now to narrow organizations that match your technical requirements and accelerate secure model deployment.
