Model inversion attacks (MIAs) aim to reconstruct private images from a target classifier's training set, thereby raising privacy concerns in AI applications. Previous GAN-based MIAs tend to suffer from inferior generative fidelity due to GANs’ inherent flaws and biased optimization within the latent space. To alleviat...
Ouxiang Li, Yanbin Hao, Zhicai Wang et al.· ACM Transactions on Multimed...· 2 citations
The Thermodynamics of Neural Optimization: Critical Surfing, Persistent Individual Ballistic Flow, and the Kinematic Rail Cognitive Operating System Author: Daniel SolisAffiliation: Founder & Lead Researcher, Dubito Inc. / Cognitive Constitution ProjectContact: solis@dubito-ergo.comCredentials: NVIDIA Inception Program...
Daniel Solis· Zenodo (CERN European Organi...· 0 citations
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This monograph provides a deterministic, hydrodynamic foundation for Quantum Mechanics, replacing the probabilistic abstractions of the Copenhagen interpretation. By redefining the cosmic vacuum as a tangible, compressible Bose-Einstein Condensate (BEC), the abstract Schrödinger equation is mathematically mapped direct...
D.H. Sundance-Kennedy· Zenodo (CERN European Organi...· 0 citations
Analytical Derivation of the Tipping Point Based on Diffusion Theory & Kinetic Jerk Dr. Theodor Heutschi Diffusion Theory & Kinetic Jerk j(t) = (d³N)/dt³ Date: 2012 Mathematical derivation of the Heutschi constant (𝒙_TP ≈ 25,51 %) Analytical Derivation of the Tipping Point Based on Diffusion Theory & Kinetic Jerk 1. Fu...
Theodor Heutschi· Zenodo (CERN European Organi...· 0 citations
This repository contains analysis code related to the manuscript "Recovering membrane interaction kinetics of single molecules from 3D tracking data" by Lundin et al. (2026) Biophysical JournalAbstractInteractions between cytosolic biomolecules and the bacterial inner membrane are fundamental to many cellular processes...
Erik Lundin, Ivan Volkov, Magnus Johansson· SciLifeLab Data Repository· 0 citations
Financial returns are known to depart from Gaussian, uniform-scaling behaviour,yet standard risk models, Gaussian value-at-risk, mean-variance optimisation,still assume it, systematically mispricing tail risk. This paper does not re-establishthat departure; it isolates the specific channels through which it arises, sin...
Vedant Shetty, Ashwini Dalvi, Irfan Siddavatam et al.· Zenodo (CERN European Organi...· 0 citations
Abstract Molten iron chlorides are central to emerging energy technologies including electrochemical iron production and redox flow batteries. Optimizing their electrochemical performance and transport properties requires an atomic-scale structural understanding, yet detailed data for molten FeCl2 and its differences f...
Fakhrul H. Bhuiyan, Jicheng Guo, Christopher James Benmore et al.· ACS Materials Au· 0 citations
Holosphere transport models distinguish local admissibility from observer-visible light de-livery. This paper gives that distinction a quantitative, conditional galaxy test. A boundedreaction–diffusion gate preserves admissibility between zero and one, while an explicitly assumedobservation map relates intrinsic emissi...
Michael John Sarnowski· Zenodo (CERN European Organi...· 0 citations
Abstract The separator material is a critical component that governs the cycling performance of aqueous zinc-ion batteries (AZIBs); however, how its ion transport properties dictate specific electrochemical behaviors remains poorly understood. Here, we investigated the relationship between ion transport properties and...
Trung Tuyen Bui, Perumal Viswanathan, Hoang Thai Bao Ngo et al.· ACS Applied Polymer Material...· 0 citations
Predator-prey dynamics are strongly influenced by environmental factors, such as the availability of resources, habitat quality and climatic conditions, which determine species survival, species reproduction and aggregate defensive behaviour. Using these ecological processes, a three-species predator-prey model is form...
M. Arif, Asad Ejaz· Research in Ecology· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.