ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.08970
  4. Cited By
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against
  Object Detection

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

22 January 2022
Siyuan Liang
Baoyuan Wu
Yanbo Fan
Xingxing Wei
Xiaochun Cao
    AAML
ArXivPDFHTML

Papers citing "Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection"

50 / 55 papers shown
Title
Manipulating Multimodal Agents via Cross-Modal Prompt Injection
Manipulating Multimodal Agents via Cross-Modal Prompt Injection
Le Wang
Zonghao Ying
Tianyuan Zhang
Siyuan Liang
Shengshan Hu
Mingchuan Zhang
A. Liu
Xianglong Liu
AAML
31
1
0
19 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
29
0
0
11 Apr 2025
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks
Liming Lu
Shuchao Pang
Siyuan Liang
Haotian Zhu
Xiyu Zeng
Aishan Liu
Yunhuai Liu
Yongbin Zhou
AAML
49
1
0
05 Mar 2025
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
Dongsu Song
Daehwa Ko
Jay Hoon Jung
AAML
50
0
0
10 Feb 2025
WFCAT: Augmenting Website Fingerprinting with Channel-wise Attention on
  Timing Features
WFCAT: Augmenting Website Fingerprinting with Channel-wise Attention on Timing Features
Jiajun Gong
Wei Cai
Siyuan Liang
Zhong Guan
Tao Wang
Ee-Chien Chang
72
0
0
16 Dec 2024
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
X. Liu
Xiaochun Cao
Dacheng Tao
Chang Ee-Chien
AAML
75
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
66
1
0
02 Dec 2024
Interpreting Object-level Foundation Models via Visual Precision Search
Interpreting Object-level Foundation Models via Visual Precision Search
Ruoyu Chen
Siyuan Liang
Jingzhi Li
Shiming Liu
Maosen Li
Zheng Huang
Hua Zhang
Xiaochun Cao
FAtt
74
3
0
25 Nov 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object
  Detectors
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
20
1
0
14 Oct 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
14
0
0
29 Sep 2024
Towards Robust Object Detection: Identifying and Removing Backdoors via
  Module Inconsistency Analysis
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis
Xianda Zhang
Siyuan Liang
AAML
16
0
0
24 Sep 2024
Compromising Embodied Agents with Contextual Backdoor Attacks
Compromising Embodied Agents with Contextual Backdoor Attacks
Aishan Liu
Yuguang Zhou
Xianglong Liu
Tianyuan Zhang
Siyuan Liang
...
Tianlin Li
Junqi Zhang
Wenbo Zhou
Qing-Wu Guo
Dacheng Tao
LLMAG
AAML
21
1
0
06 Aug 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection
A Survey and Evaluation of Adversarial Attacks for Object Detection
Khoi Nguyen Tiet Nguyen
Wenyu Zhang
Kangkang Lu
Yuhuan Wu
Xingjian Zheng
Hui Li Tan
Liangli Zhen
AAML
19
1
0
04 Aug 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
21
6
0
23 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
33
14
0
06 Jun 2024
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental
  Illusions
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
Tianyuan Zhang
Lu Wang
Hainan Li
Yisong Xiao
Siyuan Liang
Aishan Liu
Xianglong Liu
Dacheng Tao
35
10
0
03 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
22
2
0
29 May 2024
Breaking the False Sense of Security in Backdoor Defense through
  Re-Activation Attack
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
Mingli Zhu
Siyuan Liang
Baoyuan Wu
AAML
24
14
0
25 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Xinwei Zhang
Aishan Liu
Tianyuan Zhang
Siyuan Liang
Xianglong Liu
AAML
27
10
0
09 May 2024
Steal Now and Attack Later: Evaluating Robustness of Object Detection
  against Black-box Adversarial Attacks
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
AAML
23
1
0
24 Apr 2024
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal
  Contrastive Learning via Local Token Unlearning
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning
Siyuan Liang
Kuanrong Liu
Jiajun Gong
Jiawei Liang
Yuan Xun
Ee-Chien Chang
Xiaochun Cao
AAML
MU
14
12
0
24 Mar 2024
Boosting Transferability in Vision-Language Attacks via Diversification
  along the Intersection Region of Adversarial Trajectory
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
Sensen Gao
Xiaojun Jia
Xuhong Ren
Ivor Tsang
Qing-Wu Guo
AAML
23
13
0
19 Mar 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial
  Perturbations on 3D Point Clouds
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
Tianrui Lou
Xiaojun Jia
Jindong Gu
Li Liu
Siyuan Liang
Bangyan He
Xiaochun Cao
19
8
0
08 Mar 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
19
14
0
07 Mar 2024
Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts
  Against Open-source LLMs
Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs
Xiaoxia Li
Siyuan Liang
Jiyi Zhang
Hansheng Fang
Aishan Liu
Ee-Chien Chang
51
23
0
21 Feb 2024
VL-Trojan: Multimodal Instruction Backdoor Attacks against
  Autoregressive Visual Language Models
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
Jiawei Liang
Siyuan Liang
Man Luo
Aishan Liu
Dongchen Han
Ee-Chien Chang
Xiaochun Cao
25
37
0
21 Feb 2024
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery
  Detection
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Jiawei Liang
Siyuan Liang
Aishan Liu
Xiaojun Jia
Junhao Kuang
Xiaochun Cao
AAML
17
19
0
18 Feb 2024
Jailbreaking Black Box Large Language Models in Twenty Queries
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao
Alexander Robey
Edgar Dobriban
Hamed Hassani
George J. Pappas
Eric Wong
AAML
37
566
0
12 Oct 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks
Xinjie Dong
Rui Wang
Siyuan Liang
Aishan Liu
Lihua Jing
AAML
PICV
6
8
0
11 Aug 2023
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
17
12
0
02 Aug 2023
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in
  the Physical World
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World
Xingxing Wei
Yao Huang
Yitong Sun
Jie Yu
AAML
21
14
0
27 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
21
6
0
23 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial
  Training
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
9
5
0
21 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System
  Inconsistency
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency
Yan Wang
Yuhang Li
Ruihao Gong
Aishan Liu
Yanfei Wang
...
Yongqiang Yao
Yunchen Zhang
Tianzi Xiao
F. Yu
Xianglong Liu
AAML
24
0
0
01 Jul 2023
Neural Polarizer: A Lightweight and Effective Backdoor Defense via
  Purifying Poisoned Features
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
Mingli Zhu
Shaokui Wei
H. Zha
Baoyuan Wu
AAML
17
36
0
29 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher
  Adversarial Distillation
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation
Shiji Zhao
Xizhe Wang
Xingxing Wei
AAML
27
8
0
28 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight
  Distribution of Filters
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
Xingxing Wei
Shiji Zhao
Bo li
AAML
21
3
0
06 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
29
4
0
27 May 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware
  Minimization
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization
Mingli Zhu
Shaokui Wei
Li Shen
Yanbo Fan
Baoyuan Wu
AAML
20
50
0
24 Apr 2023
Ensemble-based Blackbox Attacks on Dense Prediction
Ensemble-based Blackbox Attacks on Dense Prediction
Zikui Cai
Yaoteng Tan
M. Salman Asif
AAML
17
13
0
25 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
36
21
0
19 Feb 2023
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
20
10
0
03 Nov 2022
Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAML
SILM
14
57
0
12 Oct 2022
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
41
15
0
20 Sep 2022
A Large-scale Multiple-objective Method for Black-box Attack against
  Object Detection
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection
Siyuan Liang
Longkang Li
Yanbo Fan
Xiaojun Jia
Jingzhi Li
Baoyuan Wu
Xiaochun Cao
AAML
8
34
0
16 Sep 2022
Towards Efficient Adversarial Training on Vision Transformers
Towards Efficient Adversarial Training on Vision Transformers
Boxi Wu
Jindong Gu
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
ViT
AAML
16
37
0
21 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Xiaojun Jia
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
17
36
0
18 Jul 2022
Adversarially-Aware Robust Object Detector
Adversarially-Aware Robust Object Detector
Ziyi Dong
Pengxu Wei
Liang Lin
AAML
ObjD
6
27
0
13 Jul 2022
Towards Comprehensive Testing on the Robustness of Cooperative
  Multi-agent Reinforcement Learning
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
Jun Guo
Yonghong Chen
Yihang Hao
Zixin Yin
Yin Yu
Simin Li
AAML
17
22
0
17 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization
  Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
11
33
0
27 Mar 2022
12
Next