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Mohammad Abdullah Al Faruque

3 papers indexed

arxivcs.CRcs.CVcs.LG2026-07-17

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents

Halima Bouzidi, Mboutidem Ekemini Mkpong, Mohammad Abdullah Al Faruque

Multimodal AI agents increasingly rely on persistent long-term memory to ground generation in past visual and textual episodes. We show that unconditional trust in visual data creates a critical vulnerability. We propose Lucid, a black-box adversarial framework that compromises m…

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arxivcs.ROcs.AIcs.CVcs.LGcs.MA2026-06-30

HydraCollab: Adaptive Collaborative-Perception for Distributed Autonomous Systems

Luke Chen, Cheng-Ju Wu, David R. Martin, Qilin Ye, Pramod Khargonekar, Mohammad Abdullah Al Faruque

Collaborative-perception enables multi-robot systems to enhance situational awareness by sharing perceptual information. Existing collaborative-perception systems face an inherent trade-off between communication bandwidth requirements and perception accuracy, where methods that e…

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arxivcs.ROcs.CRcs.CV2026-06-29

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations

Halima Bouzidi, Mboutidem Ekemini Mkpong, Haoyu Liu, Mohammad Abdullah Al Faruque

Generative models have recently seen rapid adoption in End-to-End (E2E) autonomous driving (AD), with diffusion-based denoising and vocabulary-based retrieval becoming the dominant trajectory-decoding paradigms. Despite their architectural diversity, current generative AD planner…

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