Seonghyun Kim (Ericsson Research)

Intent-based networking frameworks such as 3GPP TS 28.312 introduce utility-driven fulfilment, where producers map high-level intents to quantitative targets via utility formulas over KPIs, but the relationship between the KPIs declared in the intent expectation and the KPIs used in the utility is unconstrained. We address this Utility–Expectation gap with PICKLE (Patchable InCremental multiproof merKLE tree), a generic hash-only provenance layer for such settings. PICKLE commits an application’s state vector in an incremental Merkle tree and equips each verifier with a batch proof expressed purely in terms of node positions. A single global sibling map stores each required hash at most once, while per-verifier proofs reference this map without duplicating hashes. Leaf updates patch the global map along the affected paths, leaving proof structure unchanged. As a result, patch communication scales with the number of distinct touched siblings rather than with the number or size of verifier batches while preserving per-verifier isolation. We implement PICKLE and compare it to per-path proofs and per-verifier multiproofs on synthetic multi-verifier workloads. Across varied verifier numbers and tree sizes, PICKLE reduces patch communication cost and update time, while relying only on hash computations and simple table lookups.

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BACnet or “BADnet”? On the (In)Security of Implicitly Reserved...

Qiguang Zhang (Southeast University), Junzhou Luo (Southeast University, Fuyao University of Science and Technology), Zhen Ling (Southeast University), Yue Zhang (Shandong University), Chongqing Lei (Southeast University), Christopher Morales (University of Massachusetts Lowell), Xinwen Fu (University of Massachusetts Lowell)

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MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness

Xiaoyun xu (Radboud University), Shujian Yu (Vrije Universiteit Amsterdam), Zhuoran Liu (Radboud University), Stjepan Picek (Radboud University)

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AWE: Adaptive Agents for Dynamic Web Penetration Testing

Akshat Singh Jaswal (Stux Labs), Ashish Baghel (Stux Labs)

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