A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks
Authors: Khushnaseeb Roshan, Aasim Zafar, Shiekh Burhan Ul Haque | Published: 2023-07-31
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
Authors: Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin | Published: 2023-07-31 | Updated: 2024-04-03
Confidential Computing across Edge-to-Cloud for Machine Learning: A Survey Study
Authors: SM Zobaed, Mohsen Amini Salehi | Published: 2023-07-31
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Authors: Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash | Published: 2023-07-30
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training
Authors: Rajdeep Haldar, Qifan Song | Published: 2023-07-30
Adversarial training for tabular data with attack propagation
Authors: Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro | Published: 2023-07-28
Robust Distortion-free Watermarks for Language Models
Authors: Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang | Published: 2023-07-28 | Updated: 2024-06-06
Universal and Transferable Adversarial Attacks on Aligned Language Models
Authors: Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, Matt Fredrikson | Published: 2023-07-27 | Updated: 2023-12-20
Backdoor Attacks for In-Context Learning with Language Models
Authors: Nikhil Kandpal, Matthew Jagielski, Florian Tramèr, Nicholas Carlini | Published: 2023-07-27
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
Authors: Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge | Published: 2023-07-27