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A Tale of HodgeRank and Spectral Method: Target Attack Against Rank
  Aggregation Is the Fixed Point of Adversarial Game

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game

13 September 2022
Ke Ma
Qianqian Xu
Jinshan Zeng
Guorong Li
Xiaochun Cao
Qingming Huang
    AAML
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Papers citing "A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game"

12 / 12 papers shown
Title
Jailbreaking the Text-to-Video Generative Models
Jailbreaking the Text-to-Video Generative Models
Jiayang Liu
Siyuan Liang
Shiqian Zhao
Rongcheng Tu
Wenbo Zhou
Xiaochun Cao
D. Tao
Siew Kei Lam
EGVM
VGen
49
0
0
10 May 2025
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Haoming Yang
Ke Ma
Xiaojun Jia
Yingfei Sun
Qianqian Xu
Qingming Huang
AAML
231
0
0
03 May 2025
Red Pill and Blue Pill: Controllable Website Fingerprinting Defense via
  Dynamic Backdoor Learning
Red Pill and Blue Pill: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning
Siyuan Liang
Jiajun Gong
Tianmeng Fang
Aishan Liu
Tao Wang
Xianglong Liu
Xiaochun Cao
Dacheng Tao
Chang Ee-Chien
AAML
85
3
0
16 Dec 2024
CopyrightShield: Spatial Similarity Guided Backdoor Defense against
  Copyright Infringement in Diffusion Models
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models
Zhixiang Guo
Siyuan Liang
Aishan Liu
Dacheng Tao
AAML
84
1
0
02 Dec 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A
  Token-Level Unlearning Method for Mitigating Threats
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Kuanrong Liu
Siyuan Liang
Jiawei Liang
Pengwen Dai
Xiaochun Cao
MU
AAML
36
1
0
29 Sep 2024
Multimodal Unlearnable Examples: Protecting Data against Multimodal
  Contrastive Learning
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning
Xinwei Liu
Xiaojun Jia
Yuan Xun
Siyuan Liang
Xiaochun Cao
44
7
0
23 Jul 2024
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
Ke Ma
Qianqian Xu
Jinshan Zeng
Wen Liu
Xiaochun Cao
Yingfei Sun
Qingming Huang
26
9
0
02 Jul 2024
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
Zonghao Ying
Aishan Liu
Tianyuan Zhang
Zhengmin Yu
Siyuan Liang
Xianglong Liu
Dacheng Tao
AAML
42
26
0
06 Jun 2024
Effectiveness Assessment of Recent Large Vision-Language Models
Effectiveness Assessment of Recent Large Vision-Language Models
Yao Jiang
Xinyu Yan
Ge-Peng Ji
Keren Fu
Meijun Sun
Huan Xiong
Deng-Ping Fan
Fahad Shahbaz Khan
44
14
0
07 Mar 2024
Isolation and Induction: Training Robust Deep Neural Networks against
  Model Stealing Attacks
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Jun Guo
Aishan Liu
Xingyu Zheng
Siyuan Liang
Yisong Xiao
Yichao Wu
Xianglong Liu
AAML
38
12
0
02 Aug 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
Cai Kang
Yinpeng Dong
Zhengyi Wang
Shouwei Ruan
Yubo Chen
Hang Su
Xingxing Wei
AAML
DiffM
29
11
0
15 Jun 2023
Exploring Inconsistent Knowledge Distillation for Object Detection with
  Data Augmentation
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation
Jiawei Liang
Siyuan Liang
Aishan Liu
Ke Ma
Jingzhi Li
Xiaochun Cao
VLM
53
15
0
20 Sep 2022
1