Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
Authors: Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel | Published: 2023-09-13 | Updated: 2024-01-23
A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
Authors: Dipo Dunsin, Mohamed C. Ghanem, Karim Ouazzane, Vassil Vassilev | Published: 2023-09-13 | Updated: 2023-12-03
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
Authors: Jianqiao Wangni | Published: 2023-09-13 | Updated: 2023-09-14
Recovering from Privacy-Preserving Masking with Large Language Models
Authors: Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli | Published: 2023-09-12 | Updated: 2023-12-14
SABLE: Secure And Byzantine robust LEarning
Authors: Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber | Published: 2023-09-11 | Updated: 2023-12-14
FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models
Authors: Dongyu Yao, Jianshu Zhang, Ian G. Harris, Marcel Carlsson | Published: 2023-09-11 | Updated: 2024-04-14
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis
Authors: Li Du, Yequan Wang, Xingrun Xing, Yiqun Ya, Xiang Li, Xin Jiang, Xuezhi Fang | Published: 2023-09-11
Outlier Robust Adversarial Training
Authors: Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu | Published: 2023-09-10
DAD++: Improved Data-free Test Time Adversarial Defense
Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
Classification of Spam URLs Using Machine Learning Approaches
Authors: Omar Husni Odeh, Anas Arram, Murad Njoum | Published: 2023-09-10 | Updated: 2023-12-03