Publications (26)
MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data
Masoumeh Shafieinejad, Xi He, Mahshid Alinoori +6
Synthetic data is often perceived as a silver-bullet solution to data anonymization and privacy-preserving data publishing. Drawn from generative models like diffusion models, synt…
Einstein, Planck and Vera Rubin: relevant encounters between the Cosmological and the Quantum Worlds
Paolo Salucci, Giampiero Esposito, Gaetano Lambiase +38
In Cosmology and in Fundamental Physics there is a crucial question like: where the elusive substance that we call Dark Matter is hidden in the Universe and what is it made of?, th…
Radial Tully-Fisher relation and the local variance of Hubble parameter
Balakrishna S. Haridasu, Paolo Salucci, Gauri Sharma
Utilizing the well-established Radial Tully-Fisher (RTF) relation observed in a `large' (843) sample of local galaxies, we report the maximum allowed variance in the Hubble paramet…
The MAGPI Survey: Impact of environment on the total internal mass distribution of galaxies in the last 5 Gyr
Caro Derkenne, Richard M. McDermid, Adriano Poci +20
We investigate the impact of environment on the internal mass distribution of galaxies using the Middle Ages Galaxy Properties with Integral field spectroscopy (MAGPI) survey. We u…
Flat Rotation Curves of Star-Forming Galaxies and Evidence of Disk-Scale Length Evolution
Gauri Sharma, Paolo Salucci, C. M. Harrison +2
We investigate the shape of the Rotation Curves (RCs) of star-forming galaxies and compare them with the local star-forming galaxies. For this purpose, we have used …
MIGHTEE-HI: HI galaxy properties in the large scale structure environment at z~0.37 from a stacking experiment
Francesco Sinigaglia, Giulia Rodighiero, Ed Elson +20
We present the first measurement of HI mass of star-forming galaxies in different large scale structure environments from a blind survey at . In particular, we carry ou…
How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications
Gauri Sharma, Maryam Molamohammadi
The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local Law…
The MAGPI Survey: radial trends in star formation across different cosmological simulations in comparison with observations at 0.3
Marcie Mun, Emily Wisnioski, Katherine E. Harborne +20
We investigate the internal and external mechanisms that regulate and quench star formation (SF) in galaxies at using MAGPI observations and the EAGLE, Magneticum, and…
MIGHTEE-HI: The direct detection of neutral hydrogen in galaxies at
Matt J. Jarvis, Madalina N. Tudorache, I. Heywood +18
Atomic hydrogen constitutes the gas reservoir from which molecular gas and star formation in galaxies emerges. However, the weakness of the line means it has been difficult to dire…
The MAGPI Survey: Orbital distributions, intrinsic shapes, and mass profiles for MAGPI-like Eagle galaxies using Schwarzschild dynamical models
Giulia Santucci, Claudia Del P. Lagos, Katherine E. Harborne +16
Schwarzschild dynamical models are now regularly employed in large surveys of galaxies in the local and distant Universe to derive information on galaxies' intrinsic properties suc…
Tully-Fisher Relation of Late-type Galaxies at
Gauri Sharma, Varenya Upadhyaya, Paolo Salucci +1
We present a study of the stellar and baryonic Tully-Fisher relation within the redshift range of utilizing observations of \sfgs. This dataset, as explored i…
The MAGPI survey: Stellar population radial trends and mass assembly in star-forming galaxies at z~0.3
Federica Mauro, Bodo Ziegler, Iris Breda +20
The paper analyzes spatially resolved stellar populations in 34 star-forming galaxies at redshift ~0.3 using MUSE integral‑field spectroscopy, measuring radial gradients in age, me…
The MAGPI Survey: the subtle role of environment and not-so-subtle impact of generations of stars on galaxy dynamics
Caroline Foster, Sabine Bellstedt, Francesco DEugenio +23
The stellar age and mass of galaxies have been suggested as the primary determinants for the dynamical state of galaxies, with environment seemingly playing no or only a very minor…
Dark Matter Fraction in z~1 Star-Forming Galaxies
Gauri Sharma, Paolo Salucci, Glenn van de Ven
We present a observational study of the dark matter fraction in 225 rotation supported star-forming galaxies at having stellar mass range: $ 9.0 \leq log(M_* \ \math…
Glance: A Comprehensive Framework for Galactic Archaeology
Iris Breda, Glenn van de Ven, Sabine Thater +8
A central topic in extragalactic astronomy is understanding the formation and evolutionary histories of galaxies. These systems often comprise multiple structural components with d…
Observational Evidence of Evolving Dark Matter Profiles at
Gauri Sharma, Paolo Salucci, Glenn van de Ven
We investigate the dark matter halos of 256 star-forming disc-like galaxies at using the KMOS redshift one spectroscopic survey (KROSS). This sample covers the redshifts…
Measures of luminous and dark matter in galaxies across time
Jonathan Freundlich, Gauri Sharma, Sabine Thater +14
Dark matter is one of the pillars of the current standard model of structure formation: it is assumed to constitute most of the matter in the Universe. However, it can so far only…
Different higher-order kinematics between star-forming and quiescent galaxies based on the SAMI, MAGPI and LEGA-C surveys
Francesco D'Eugenio, Arjen van der Wel, Caro Derkenne +38
We present the first statistical study of spatially integrated non-Gaussian stellar kinematics spanning 7 Gyr in cosmic time. We use deep, rest-frame optical spectroscopy of massiv…
Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks
Trilok Padhi, Pinxian Lu, Abdulkadir Erol +5
Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain vulnerable to misuse and harm. Prior jailbreak research has largely focus…
MIGHTEE-HI: The HI mass-stellar mass relation over the last billion years
Hengxing Pan, Matt J. Jarvis, Mario G. Santos +19
We study the relation over the last billion years using the MIGHTEE-HI sample. We first model the upper envelope of the relation with…
MIGHTEE HI observations of low surface brightness and ultra-diffuse galaxies in the XMM-LSS field
Elizabeth A. K. Adams, Barbara Å iljeg, Anastasia Ponomareva +8
Untargeted neutral hydrogen (HI) surveys are well suited to identifying low surface brightness galaxies (LSBGs) that are gas rich, and they offer a complementary view to optically…
The MAGPI Survey: Effects of Spiral Arms on Different Tracers of the Interstellar Medium and Stellar Populations at z~0.3
Qian-Hui Chen, Kathryn Grasha, Andrew J. Battisti +17
Spiral structures are important drivers of the secular evolution of disc galaxies, however, the origin of spiral arms and their effects on the development of galaxies remain myster…
The MAGPI Survey: co-evolution of baryons and dark matter in star-forming disk-like galaxies at
Gauri Sharma, Andrew J. Battisti, Emily Wisnioski +20
We present a comprehensive analysis of the dark matter (DM) content and its structural dependence in star-forming disk-like galaxies at intermediate redshifts ($0.1 \lesssim z \les…
The Dark Side Properties of Galaxies Requires (viable) Modifications to the Verlinde's Emergent Gravity Theory
Gauri Sharma, Paolo Salucci
Dark Matter is an unknown entity in the Universe. Although several fields of astrophysics \& cosmology are trying to endorse this elusive matter, however, its nature remains an ope…
Towards Unifying Quantitative Security Benchmarking for Multi Agent Systems
Gauri Sharma, Vidhi Kulkarni, Miles King +1
Evolving AI systems increasingly deploy multi-agent architectures where autonomous agents collaborate, share information, and delegate tasks through developing protocols. This conn…
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza
This study investigates how machine learning (ML) models can predict hospital readmissions for diabetic patients fairly and accurately across different demographics (age, gender, r…