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Arslan Basharat

3 accepted papers

2026

Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping

AAAI 2026technical

The deployment of decision-making AI agents presents a critical challenge in maintaining alignment with human values or guidelines while operating in complex, dynamic environments. Agents trained solely to achieve their objectives may adopt harmful behavior, exposing a key trade-off between maximizi

Cited by 0SourcePDFScholar
2024

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain

NAACL 2024industry

In difficult decision-making scenarios, it is common to have conflicting opinions among expert human decision-makers as there may not be a single right answer. Such decisions may be guided by different attributes that can be used to characterize an individual’s decision. We introduce a novel dataset…

2020

DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization

CVPR 2020poster

Images can be manipulated for nefarious purposes to hide content or to duplicate certain objects through copy-move operations. Discovering a well-crafted copy-move forgery in images can be very challenging for both humans and machines; for example, an object on a uniform background can be replaced b…

Cited by 163PDFScholar