Can Machines Help Us Answering Question 16 in Datasheets, and In Turn
Reflecting on Inappropriate Content?

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

14 February 2022

Christopher Tauchmann

Kristian Kersting

Papers citing "Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?"

19 / 19 papers shown

Title
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models Zheling Meng Bo Peng Xiaochuan Jin Yueming Lyu Wei Wang Jing Dong DiffM 38 2 0 22 Feb 2025
DiffGuard: Text-Based Safety Checker for Diffusion Models Massine El Khader Elias Al Bouzidi Abdellah Oumida Mohammed Sbaihi Eliott Binard Jean-Philippe Poli Wassila Ouerdane Boussad Addad Katarzyna Kapusta DiffM 114 0 0 20 Feb 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim Junho Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee 73 13 0 17 Jan 2025
MLLM-as-a-Judge for Image Safety without Human Labeling Zhenting Wang Shuming Hu Shiyu Zhao Xiaowen Lin F. Xu ... Nan Jiang Lingjuan Lyu Shiqing Ma Dimitris N. Metaxas Ankit Jain 123 1 0 31 Dec 2024
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models Zhi-Yi Chin Kuan-Chen Mu Mario Fritz Pin-Yu Chen DiffM 83 0 0 25 Nov 2024
Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian Ajmal Mian DiffM 82 0 0 21 Nov 2024
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning Saemi Moon M. Lee Sangdon Park Dongwoo Kim 37 1 0 08 Oct 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 31 5 0 18 Aug 2024
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge Manuel Brack P. Schramowski Kristian Kersting AAML EGVM 19 7 0 20 Sep 2023
Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting EGVM 18 13 0 28 May 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 37 269 0 09 Nov 2022
Revision Transformers: Instructing Language Models to Change their Values Felix Friedrich Wolfgang Stammer P. Schramowski Kristian Kersting KELM 21 6 0 19 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,689 0 11 Feb 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,584 0 03 Sep 2019