adversarial examples

Adversarial Hubness in Multi-Modal Retrieval

We show that any image or audio input in a multi-modal retrieval system can be turned into an adversarial hub that is retrieved for thousands of unrelated queries, and that standard hubness mitigations do not defend against it.

Tingwei Zhang, Fnu Suya, Rishi Jha, Collin Zhang, Vitaly Shmatikov

DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples

We compose existing Lp-bounded attacks into a differentiable meta-attack that produces adversarial examples which are both more effective and more perceptually aligned than state-of-the-art perceptual attacks.

Abdullah Al Nomaan Nafi, Habibur Rahaman, Zafaryab Haider, Tanzim Mahfuz, Fnu Suya, Swarup Bhunia, Prabuddha Chakraborty

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries

We propose query-efficient black-box attacks that innovatively combine existing methods and prioritize targeting more vulnerable seeds.

Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian

Scalable Attack on Graph Data by Injecting Vicious Nodes

We propose a scalable attack that generates adversarial examples on extremely large graphs targeting graph neural networks.

Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries

We propose query-efficient black-box attacks that innovatively combine existing methods and prioritize targeting more vulnerable seeds.

Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian

Last updated on Nov 27, 2023