Cover Image

Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jawahar, Pratik, Doglioni, Caterina, Pierini, Maurizio
Format:	Preprint
Published:	2025
Subjects:	High Energy Physics - Experiment Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BOA Constrictor: A Mamba-based lossless compressor for High Energy Physics data
by: Gupta, Akshat, et al.
Published: (2025)

Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC
by: Puljak, Ema, et al.
Published: (2025)

Baler -- Machine Learning Based Compression of Scientific Data
by: Bengtsson, Fritjof, et al.
Published: (2023)

CHLU: The Causal Hamiltonian Learning Unit as a Symplectic Primitive for Deep Learning
by: Jawahar, Pratik, et al.
Published: (2026)

Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
by: Borella, Lorenzo, et al.
Published: (2024)

Scalar radiation zeros at the LHC
by: Englert, Christoph, et al.
Published: (2024)

SMARTHEP: training PhD students in real-time analysis at the LHC and in industry
by: Albrecht, Johannes, et al.
Published: (2026)

Novel machine learning applications at the LHC
by: Duarte, Javier M.
Published: (2024)

Improving sensitivity of trilinear RPV SUSY searches using machine learning at the LHC
by: Choudhury, Arghya, et al.
Published: (2023)

Inferring identified hadron production in $pp$ collisions with physics-informed machine learning at the LHC
by: Gupta, Rishabh, et al.
Published: (2026)

A new 700 GeV scalar in the LHC data?
by: Consoli, Maurizio, et al.
Published: (2024)

Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks
by: Choudhury, Arghya, et al.
Published: (2024)

The SMARTHEP European Training Network
by: Gooding, James Andrew, et al.
Published: (2024)

Odderon contribution in light of the LHC low-$t$ data
by: Luna, E. G. S., et al.
Published: (2024)

Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
by: Shenoy, Rohan, et al.
Published: (2023)

Quantum anomaly detection in the latent space of proton collision events at the LHC
by: Belis, Vasilis, et al.
Published: (2023)

Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC
by: Subba, Amir, et al.
Published: (2026)

Deep learning approaches to top FCNC couplings to photons at the LHC
by: Fuks, Benjamin, et al.
Published: (2025)

Electroweak precision observables and Higgs-boson signal strengths in the Standard Model and beyond: present and future
by: de Blas, Jorge, et al.
Published: (2016)

AMD Versal AI-Engines for fixed latency environments
by: Xiotidis, Ioannis, et al.
Published: (2026)

$μ$LHC: Antimuon Ring and HL-LHC based $μ^+p$ Collider
by: Akturk, D., et al.
Published: (2025)

Ultrafast jet classification on FPGAs for the HL-LHC
by: Odagiu, Patrick, et al.
Published: (2024)

Triggering Dark Showers with Conditional Dual Auto-Encoders
by: Anzalone, Luca, et al.
Published: (2023)

Unveiling the Invisible: ALPs and Sterile Neutrinos at the LHC and HL-LHC
by: Cheung, Kingman, et al.
Published: (2024)

DECADE: Decorrelated anomaly detection triggers to enhance the low-mass discovery potential of the LHC
by: Hall, Noah Clarke, et al.
Published: (2025)

Looking for new strategies to probe low mass axion-like particles in ultraperipheral heavy-ion collisions at the LHC
by: Nogarolli, Pedro, et al.
Published: (2025)

Machine learning tagged boosted dark photon: A signature of fermionic portal matter at the LHC
by: Verma, Shivam, et al.
Published: (2024)

Probing displaced (dark)photons from low reheating freeze-in at the LHC
by: Arias, Paola, et al.
Published: (2025)

A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider
by: Goswami, Kangkan, et al.
Published: (2024)

From strange-quark tagging to fragmentation tagging with machine learning
by: Kats, Yevgeny, et al.
Published: (2024)

Towards a Self-Driving Trigger at the LHC: Adaptive Response in Real Time
by: Emami, Shaghayegh, et al.
Published: (2026)

Probing the sensitivity of semi-visible jets to current LHC measurements using the CONTUR toolkit
by: Buckley, Andy, et al.
Published: (2025)

Searching for Gluino LSP at the LHC
by: Knees, Paulina, et al.
Published: (2024)

Diffraction and elastic scattering at the LHC
by: Fehérkuti, Anna
Published: (2024)

Triple Higgs couplings at LHC
by: Yaouanc, Alain Le, et al.
Published: (2024)

First observation of ultra-long-range azimuthal correlations in low multiplicity pp and p-Pb collisions at the LHC
by: ALICE Collaboration
Published: (2025)

Alternative scenarios for the LHC based electron-proton collider
by: Akay, A. N., et al.
Published: (2023)

Conformal Colliders Meet the LHC
by: Lee, Kyle, et al.
Published: (2022)

Multimuons in cosmic-ray events as seen in ALICE at the LHC
by: ALICE Collaboration
Published: (2024)

Local Baryon Number at the LHC
by: Butterworth, Jon, et al.
Published: (2025)