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  1. Home
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  3. MLAU

Machine Learning Auditing

MLAU
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Creating tools and methods to independently review and verify the integrity, reliability, and fairness of Machine Learning systems.

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50 / 389 papers shown
Title
Detecting Adversarial Fine-tuning with Auditing Agents
Detecting Adversarial Fine-tuning with Auditing Agents
Sarah Egler
John Schulman
Nicholas Carlini
AAMLMLAU
53
0
0
17 Oct 2025
Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms
Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms
Michele Loi
M. Bello
N. Cangiotti
FaMLMLAU
142
0
0
10 Oct 2025
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
Akira Ito
Takayuki Miura
Yosuke Todo
AAMLMIACVMLAU
68
0
0
08 Oct 2025
Audit the Whisper: Detecting Steganographic Collusion in Multi-Agent LLMs
Audit the Whisper: Detecting Steganographic Collusion in Multi-Agent LLMs
Om Tailor
MLAU
69
0
0
05 Oct 2025
Auditing Pay-Per-Token in Large Language Models
Auditing Pay-Per-Token in Large Language Models
Ander Artola Velasco
Stratis Tsirtsis
Manuel Gomez Rodriguez
MLAU
80
0
0
05 Oct 2025
Cost Efficient Fairness Audit Under Partial Feedback
Cost Efficient Fairness Audit Under Partial Feedback
Nirjhar Das
Mohit Sharma
Praharsh Nanavati
Kirankumar Shiragur
Amit Deshpande
MLAU
61
0
0
04 Oct 2025
When Ads Become Profiles: Large-Scale Audit of Algorithmic Biases and LLM Profiling Risks
When Ads Become Profiles: Large-Scale Audit of Algorithmic Biases and LLM Profiling Risks
Baiyu Chen
Benjamin Tag
Hao Xue
Daniel Angus
Flora D. Salim
MLAU
52
0
0
23 Sep 2025
Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras
Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras
Aksheytha Chelikavada
Casey C. Bennett
MLAU
20
0
0
15 Sep 2025
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning
Daniel DeAlcala
Aythami Morales
Julian Fierrez
Gonzalo Mancera
Ruben Tolosana
Javier-Ortega Garcia
MLAU
77
0
0
09 Sep 2025
Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain
Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain
Dmitry Yaremus
Jianghai Li
Alisa Kalacheva
Igor Vodolazov
Yury Yanovich
MLAU
72
0
0
01 Sep 2025
ATM-GAD: Adaptive Temporal Motif Graph Anomaly Detection for Financial Transaction Networks
ATM-GAD: Adaptive Temporal Motif Graph Anomaly Detection for Financial Transaction Networks
Zeyue Zhang
Lin Song
Erkang Bao
Xiaoling Lv
Xinyue Wang
AI4TSMLAUAIFin
60
0
0
28 Aug 2025
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
Skyler Hallinan
Jaehun Jung
Melanie Sclar
Ximing Lu
Abhilasha Ravichander
Sahana Ramnath
Yejin Choi
Sai Praneeth Karimireddy
Niloofar Mireshghallah
Xiang Ren
AAMLMLAU
81
1
0
13 Aug 2025
Who's the Evil Twin? Differential Auditing for Undesired Behavior
Who's the Evil Twin? Differential Auditing for Undesired Behavior
Ishwar Balappanawar
Venkata Hasith Vattikuti
Greta Kintzley
Ronan Azimi-Mancel
Satvik Golechha
AAMLMLAU
74
0
0
09 Aug 2025
Machine Learning based Enterprise Financial Audit Framework and High Risk Identification
Machine Learning based Enterprise Financial Audit Framework and High Risk Identification
Tingyu Yuan
Xi Zhang
Xuanjing Chen
MLAU
32
2
0
08 Jul 2025
Automated Vigilance State Classification in Rodents Using Machine Learning and Feature Engineering
Automated Vigilance State Classification in Rodents Using Machine Learning and Feature Engineering
Sankalp Jajee
Gaurav Kumar
Homayoun Valafar
MLAU
21
0
0
08 Jul 2025
AI-washing: The Asymmetric Effects of Its Two Types on Consumer Moral Judgments
AI-washing: The Asymmetric Effects of Its Two Types on Consumer Moral Judgments
Greg Nyilasy
Harsha Gangadharbatla
MLAU
47
0
0
06 Jul 2025
The Illusion of Fairness: Auditing Fairness Interventions with Audit Studies
The Illusion of Fairness: Auditing Fairness Interventions with Audit Studies
Disa Sariola
Patrick Button
Aron Culotta
Nicholas Mattei
MLAU
50
0
0
02 Jul 2025
Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
Claire Li
David Freeborn
MLAU
28
0
0
30 Jun 2025
Fingerprinting SDKs for Mobile Apps and Where to Find Them: Understanding the Market for Device Fingerprinting
Fingerprinting SDKs for Mobile Apps and Where to Find Them: Understanding the Market for Device Fingerprinting
Michael A. Specter
Mihai Christodorescu
Abbie Farr
Bo Ma
Robin Lassonde
Xiaoyang Xu
Xiang Pan
Fengguo Wei
Saswat Anand
Dave Kleidermacher
MLAU
27
0
0
27 Jun 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
John Abascal
Nicolás Berrios
Alina Oprea
Jonathan R. Ullman
Adam D. Smith
Matthew Jagielski
MLAU
124
0
0
19 Jun 2025
Sharpening Kubernetes Audit Logs with Context Awareness
Sharpening Kubernetes Audit Logs with Context Awareness
Matteo Franzil
Valentino Armani
Luis Augusto Dias Knob
Domenico Siracusa
MLAU
129
0
0
19 Jun 2025
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches
Ranindya Paramitha
Yuan Feng
Fabio Massacci
MLAU
81
0
0
13 Jun 2025
Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test
Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test
Xiaoyuan Zhu
Yaowen Ye
Tianyi Qiu
Hanlin Zhu
Sijun Tan
Ajraf Mannan
Jonathan Michala
Raluca A. Popa
Willie Neiswanger
AAMLMLAU
151
2
0
08 Jun 2025
The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
FLorian A.D. Burnat
Brittany I. Davidson
MLAU
30
0
0
16 May 2025
Robust ML Auditing using Prior Knowledge
Robust ML Auditing using Prior Knowledge
Jade Garcia Bourrée
Augustin Godinot
M. Vos
Milos Vujasinovic
Sayan Biswas
Gilles Tredan
Erwan Le Merrer
Anne-Marie Kermarrec
MLAUAAML
102
2
0
07 May 2025
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book RecommendationUser Modeling, Adaptation, and Personalization (UMAP), 2025
Samira Vaez Barenji
Sushobhan Parajuli
Michael D. Ekstrand
MLAU
103
1
0
07 May 2025
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of FindingsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Matej Mosnar
Adam Skurla
Branislav Pecher
Matus Tibensky
Jan Jakubcik
Adrian Bindas
Peter Sakalik
Ivan Srba
MLAU
115
0
0
25 Apr 2025
Beyond Public Access in LLM Pre-Training Data
Beyond Public Access in LLM Pre-Training Data
Sruly Rosenblat
Tim O'Reilly
Ilan Strauss
MLAU
332
1
0
24 Apr 2025
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation ModelsThe Web Conference (WWW), 2025
Linkang Du
Zheng Zhu
M. Chen
Zhou Su
S. Ji
Jun Zhou
Jiming Chen
Zhikun Zhang
DiffMWIGMMLAU
273
2
0
17 Apr 2025
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain
Dominik Kowald
MLAU
285
0
0
07 Apr 2025
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks
Lahiru Akmeemana
Chamodya Attanayake
Husni Faiz
Sandareka Wickramanayake
MLAUAI4TS
173
2
0
31 Mar 2025
Instance-Level Data-Use Auditing of Visual ML Models
Instance-Level Data-Use Auditing of Visual ML Models
Zonghao Huang
Neil Zhenqiang Gong
Michael K. Reiter
MLAU
189
1
0
28 Mar 2025
Dynamics of Algorithmic Content Amplification on TikTok
Dynamics of Algorithmic Content Amplification on TikTok
Fabian Baumann
Nipun Arora
Iyad Rahwan
Agnieszka Czaplicka
MLAU
127
2
0
26 Mar 2025
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
Nathan G. Drenkow
Mitchell Pavlak
Keith Harrigian
Ayah Zirikly
Adarsh Subbaswamy
M. M. Farhangi
N. Petrick
Mathias Unberath
MLAU
180
3
0
13 Mar 2025
Auditing the Compliance and Enforcement of Twitter's Advertising Policy
Auditing the Compliance and Enforcement of Twitter's Advertising PolicySocial Media + Society (SMS), 2023
Yash Vekaria
Zubair Shafiq
Savvas Zannettou
MLAU
145
0
0
21 Feb 2025
AutoLike: Auditing Social Media Recommendations through User Interactions
AutoLike: Auditing Social Media Recommendations through User Interactions
Hieu Le
Salma Elmalaki
Zubair Shafiq
A. Markopoulou
MLAU
119
1
0
13 Feb 2025
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
Kunal Handa
Alex Tamkin
Miles McCain
Saffron Huang
Esin Durmus
...
Kevin K. Troy
Dario Amodei
Jared Kaplan
Jack Clark
Deep Ganguli
MLAU
160
59
0
11 Feb 2025
RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
Amirhossein Dadashzadeh Taromi
Sina Heydari
Mohsen Hooshmand
Majid Ramezani
MLAUCML
118
1
0
10 Feb 2025
A General Framework for Data-Use Auditing of ML Models
A General Framework for Data-Use Auditing of ML ModelsConference on Computer and Communications Security (CCS), 2024
Zonghao Huang
Neil Zhenqiang Gong
Michael K. Reiter
MLAU
62
12
0
28 Jan 2025
Multi-task deep-learning for sleep event detection and stage classification
Multi-task deep-learning for sleep event detection and stage classification
Adriana Anido-Alonso
Diego Alvarez-Estevez
MLAU
60
0
0
17 Jan 2025
CALM: Curiosity-Driven Auditing for Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2025
Xiang Zheng
Longxiang Wang
Yi Liu
Jie Zhang
Chao Shen
Cong Wang
MLAU
167
5
0
06 Jan 2025
HoneypotNet: Backdoor Attacks Against Model ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2025
Yixu Wang
Tianle Gu
Yan Teng
Yingchun Wang
Jiabo He
MLAUMIACV
56
2
0
03 Jan 2025
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Zhuoyi Shang
Yi Liu
Jinxia Liu
Xiaoyan Gu
Ying Ding
Xiangyang Ji
MLAU
116
0
0
20 Dec 2024
Queries, Representation & Detection: The Next 100 Model Fingerprinting
  Schemes
Queries, Representation & Detection: The Next 100 Model Fingerprinting SchemesAAAI Conference on Artificial Intelligence (AAAI), 2024
Augustin Godinot
Erwan Le Merrer
C. Penzo
F. Taïani
Gilles Tredan
MLAU
111
1
1
17 Dec 2024
Serial Scammers and Attack of the Clones: How Scammers Coordinate Multiple Rug Pulls on Decentralized Exchanges
Serial Scammers and Attack of the Clones: How Scammers Coordinate Multiple Rug Pulls on Decentralized ExchangesThe Web Conference (WWW), 2024
Phuong Duy Huynh
Son Hoang Dau
Hong-Yen Tran
Nick Huppert
Hoonie Sun
Joshua Cervenjak
Xiaodong Li
Emanuele Viterbo
MLAU
215
3
0
14 Dec 2024
What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144
What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144
Gemma Galdon Clavell
Rubén González-Sendino
MLAU
48
1
0
13 Dec 2024
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning ApplicationsAAAI Conference on Artificial Intelligence (AAAI), 2024
Luis Morales-Navarro
Yasmin B. Kafai
Lauren Vogelstein
Evelyn Yu
D. Metaxa
MLAU
105
4
0
09 Dec 2024
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box ModelIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Rongqing Li
Jiaqi Yu
Changsheng Li
Tong Lu
Ye Yuan
Guoren Wang
MLAU
226
0
0
08 Dec 2024
Best-of-N Jailbreaking
Best-of-N Jailbreaking
John Hughes
Sara Price
Aengus Lynch
Rylan Schaeffer
Fazl Barez
Sanmi Koyejo
Henry Sleight
Erik Jones
Ethan Perez
Mrinank Sharma
MLAULLMAG
159
21
0
04 Dec 2024
A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural
  Networks using Side-Channel Attacks
A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel AttacksIACR Cryptology ePrint Archive (IACR ePrint), 2024
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
AAMLMLAU
171
0
0
15 Nov 2024
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