A generalized Multimodal Subspace Support Vector Data Description model with graph-embedded regularization is proposed, illustrating how relational and structural information can be systematically embedded into one-class models, enabling robust learning under complex, high-dimensional, and multimodal conditions.
Thomas Debelle, F. Sohrab, Pekka Abrahamsson et al.· Scientific Reports· 1 citation
Preliminary results indicate performance differences across LLMs, suggesting that model choice influences coverage, consistency, and hallucination rates.
Malik Abdul Sami, Gessé Evangelista, Kai-Kristian Kemell et al.· AGENT@ICSE· 0 citations
LLM-based multi-agent systems can support strategic AI planning by enabling iterative refinement with human experts by supporting structured and collaborative Requirements Engineering processes for AI adoption planning.
Malik Abdul Sami, Zheying Zhang, Muhammad Waseem et al.· e-Informatica Software Engin...· 6 citations
It is argued that AI safety evaluations should systematically account for modality, multi-run consistency, search conditions, and response-level behaviors to better reflect how deployed AI systems behave in practice.
Ro Encarnación, Tina Behzad, Emma Lurie et al.· Proceedings of the AAAI/ACM...· 0 citations
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A previously unstated class of adversarial input called a clean attack - an input that is syntactically correct, semantically consistent with the declared task context, consistent with all observable policy constraints and still has the goal of misguiding the agent away from the original operator goal - is identified a...
Harsh Verma· International Journal of Sci...· 1 citation
This paper synthesizes the findings of the five-paper AI Agent Security Series into a unified, formal, and falsifiable theory of autonomous agent security, and establishes three meta-theorems: the Component Insufficiency Theorem, the Dynamic Necessity Theorem, and the Interaction Irreducibility Theorem.
Harsh Verma· International Journal of Sci...· 1 citation
Securing AI systems is not a task any single discipline can accomplish alone; it requires sustained collaboration between machine learning researchers, cybersecurity professionals, and policymakers if AI technologies are to remain reliable, trustworthy, and resilient in adversarial environments.
Harsh Verma· International Journal of Sci...· 1 citation
This work introduces REFINE (Refactoring with Evidence-aware Flow for Integrated ageNtic Execution), a tool-agnostic, evidence-aware multi-agent approach for generating Java file-level refactoring candidates that achieves a higher median code-smell reduction with smaller edits and fewer public-method removals.
Muhammad Waseem, Aakash Ahmad, Pekka Abrahamsson· 0 citations
This paper investigates how multi-agent systems (MAS-based on large language models) can support actuarial risk modelling, with a particular focus on uncertainty quantification, and proposes a novel approach to uncertainty propagation using token-level log-probabilities and a Bayesian Network.
Bart Custers, K. Aslansefat· Lecture notes in computer sc...· 0 citations
DeepRepro dynamically transforms evolving repository states and runtime feedback into fine-grained implementation subplans, keeping planning aligned with execution throughout repository construction, and consistently outperforms strong scientific and commercial code-agent baselines.
Hong-Ru Song, Ru-Qing Zhang, Jia-Feng Guo et al.· ACM International Conference...· 1 citation
Probabilistic state-proportional (PSP) dispatching, a packet-level load balancing algorithm using a Band-based discrete state representation, provides an effective balance among performance, stability, and overhead for artificial intelligence data centers.
Jia-Qi Liu, Chun-Yang Zhang, Heng Pan et al.· IEEE Conference on Local Com...· 0 citations
