Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Authors: Mst Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas, Sheikh Iqbal Ahamed, Alfredo Cuzzocrea | Published: 2023-06-01
深層学習手法
Investigating Adversarial Vulnerability and Implicit Bias through Frequency Analysis
Authors: Lorenzo Basile, Nikos Karantzas, Alberto D'Onofrio, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi | Published: 2023-05-24 | Updated: 2024-07-17
Expressive Losses for Verified Robustness via Convex Combinations
Authors: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio | Published: 2023-05-23 | Updated: 2024-03-18
Can deepfakes be created by novice users?
Authors: Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt | Published: 2023-04-28
Machine Learning for Detection and Mitigation of Web Vulnerabilities and Web Attacks
Authors: Mahnoor Shahid | Published: 2023-04-27
The Devil’s Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2023-03-15 | Updated: 2024-01-11
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Authors: Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn | Published: 2023-01-26 | Updated: 2023-07-23
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Authors: Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus | Published: 2022-10-21
Scaling Adversarial Training to Large Perturbation Bounds
Authors: Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu | Published: 2022-10-18
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Authors: Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang | Published: 2022-10-18 | Updated: 2024-08-01