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K. A. Islam

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Open access Oct 2026

Stabilized Multi-Objective Optimization for Camouflage Attack in Remote Sensing

We investigate the vulnerability of multi-task maritime surveillance systems in which object detection and semantic segmentation operate concurrently. We propose Stabilized Multi-Objective Optimization (SMO), a framework that jointly targets Mask R-CNN and U-Net with a single universal adversarial texture in a digital...

Omid Rajabi Rostami, Kazi Aminul Islam, Liu-Wan Zhu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Beyond Unsafe Detection: Counterfactually Anchored Evidence Attribution for Multi-Turn LLM Safety Failures

A lightweight hierarchical attribution model is trained that predicts safety violations and attributes them to contributing user turns and token spans and preserves low false positive rates on benign conversations with high-risk vocabulary.

Srinivasan Subramanian, Kazi Aminul Islam, Md Abdullah Al Hafiz Khan · 0 citations
#artificial intelligence Preprint Sep 2026

Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

FedMAST is proposed, a Federated Multi-Axis Structural Tracing defense for backdoor detection in federated learning that uses squeeze-pair coherence scoring to expose coupled feature distortions and signed spectral-drift tracking to reveal persistent directional changes over time.

Srinivasan Subramanian, Md Abdullah Al Hafiz Khan, Kazi Aminul Islam · 0 citations
Conference Open access Aug 2026

Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning

The Krum-Proxy attack is introduced, a selection-aware backdoor injection strategy that consistently bypasses Byzantine-robust aggregation and constructs adversarial updates that are not only similar to benign updates but are also optimized to lie in regions of the update space that are favored during aggregation.

Srinivasan Subramanian, Md Abdullah Al Hafiz Khan, K. A. Islam · 0 citations

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