Cover Image

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Quaye, Jessica, Parrish, Alicia, Inel, Oana, Rastogi, Charvi, Kirk, Hannah Rose, Kahng, Minsuk, van Liemt, Erin, Bartolo, Max, Tsang, Jess, White, Justin, Clement, Nathan, Mosquera, Rafael, Ciro, Juan, Reddi, Vijay Janapa, Aroyo, Lora
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Cryptography and Security Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
by: Quaye, Jessica, et al.
Published: (2025)

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South
by: Rastogi, Charvi, et al.
Published: (2026)

TinyTorch: Building Machine Learning Systems from First Principles
by: Reddi, Vijay Janapa
Published: (2026)

Generative AI Agents in Autonomous Machines: A Safety Perspective
by: Jabbour, Jason, et al.
Published: (2024)

SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment
by: Jeung, Wonje, et al.
Published: (2025)

The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems
by: Neuman, Sabrina M., et al.
Published: (2024)

Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior
by: Lee, Minjae, et al.
Published: (2025)

FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
by: Ma, Jeffrey, et al.
Published: (2024)

Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity
by: Mishra, Pushkar, et al.
Published: (2025)

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives
by: Wang, Ding, et al.
Published: (2025)

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models
by: Rastogi, Charvi, et al.
Published: (2025)

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups
by: Rastogi, Charvi, et al.
Published: (2024)

Understanding the Dataset Practitioners Behind Large Language Model Development
by: Qian, Crystal, et al.
Published: (2024)

VLSlice: Interactive Vision-and-Language Slice Discovery
by: Slyman, Eric, et al.
Published: (2023)

SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility
by: Jabbour, Jason, et al.
Published: (2025)

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
by: Ibrahim, Lujain, et al.
Published: (2025)

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
by: Lam, Maximilian, et al.
Published: (2022)

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
by: Reif, Emily, et al.
Published: (2024)

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
by: Choi, Dasol, et al.
Published: (2025)

Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation
by: Wardatzky, Kathrin, et al.
Published: (2024)

D-RDW: Diversity-Driven Random Walks for News Recommender Systems
by: Li, Runze, et al.
Published: (2025)

Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
by: Heitz, Lucien, et al.
Published: (2025)

TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
by: Huckelberry, Jacob, et al.
Published: (2024)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)

Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
by: Berghe, Korneel Van den, et al.
Published: (2025)

Materiality and Risk in the Age of Pervasive AI Sensors
by: Sloane, Mona, et al.
Published: (2024)

Evaluating Language Models for Harmful Manipulation
by: Akbulut, Canfer, et al.
Published: (2026)

From Perception to Decision: Assessing the Role of Chart Types Affordances in High-Level Decision Tasks
by: Li, Yixuan, et al.
Published: (2024)

Who Defines "Best"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards
by: Jung, Minji, et al.
Published: (2026)

Slm-mux: Orchestrating small language models for reasoning
by: Wang, Chenyu, et al.
Published: (2025)

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization
by: Tschand, Arya, et al.
Published: (2025)

Aligning Object Detector Bounding Boxes with Human Preference
by: Strafforello, Ombretta, et al.
Published: (2024)

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
by: Prabhakaran, Vinodkumar, et al.
Published: (2023)

Paradoxical Vitiligo Induced by Adalimumab in Ankylosing Spondylitis With Uveitis: Clinical Management and Therapeutic Considerations
by: Tuba Yuce Inel
Published: (2026)

SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
by: Ma, Jeffrey Jian, et al.
Published: (2025)

Ontology of Belief Diversity: A Community-Based Epistemological Approach
by: Fischella, Tyler, et al.
Published: (2024)

Interactive Prompt Debugging with Sequence Salience
by: Tenney, Ian, et al.
Published: (2024)

DWARF: Disease-weighted network for attention map refinement
by: Luo, Haozhe, et al.
Published: (2024)

Exploring first‐year occupational therapy students' perspectives of an On‐Country experience: A study from an Australian undergraduate program
by: Kieva Richards, et al.
Published: (2025)

COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems
by: Raju, Aditi, et al.
Published: (2025)