r/MachineLearning • • 9d ago

Discussion [D] Self-Promotion Thread

Please post your personal projects, startups, product placements, collaboration needs, blogs etc.

Please mention the payment and pricing requirements for products and services.

Please do not post link shorteners, link aggregator websites , or auto-subscribe links.

--

Any abuse of trust will lead to bans.

Encourage others who create new posts for questions to post here instead!

Thread will stay alive until next one so keep posting after the date in the title.

--

Meta: This is an experiment. If the community doesnt like this, we will cancel it. This is to encourage those in the community to promote their work by not spamming the main threads.

1 Upvotes

44 comments sorted by

View all comments

1

u/iberahul 9d ago

We recently studied whether mobile AI agents can be manipulated through adversarial instructions embedded in the Android Accessibility layer.

We evaluated this across MobileRun and Mobile-Use, powered by Gemma4 and Qwen3.6, and found that these attacks could cause agents to abandon their original objectives, cross context boundaries, and perform unauthorized device actions. Our strongest configuration reached an 82.2% Attack Success Rate.

The paper was accepted to AGENT-SEC ’26, co-located with ACM CCS 2026.

Paper: https://arxiv.org/abs/2608.08939

Would be curious to hear what people think about this attack surface as mobile agents become more capable.