ViECap

SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.

Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"

(AAAI 2024) Transferable Adversarial Attacks for Object Detection using Object-Aware Significant Feature Distortion

[ICCV2023] ETran: Energy-based Transferability Estimation

Source of the UAI2022 paper "Efficient and Transferable Adversarial Examples from Bayesian Neural Networks"

[BMVC 2023] Diversifying the High-level Features for better Adversarial Transferability

重新标记POPE基准测试

Formalizing Attacker Scenarios for Adversarial Transferability

Object Hallucination Benchmark for Vision Language Models

Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)