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1608.04644
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Towards Evaluating the Robustness of Neural Networks
16 August 2016
Nicholas Carlini
D. Wagner
OOD
AAML
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Papers citing
"Towards Evaluating the Robustness of Neural Networks"
50 / 4,015 papers shown
Title
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate
Javier Rando
Jie Zhang
Nicholas Carlini
F. Tramèr
AAML
ELM
141
9
0
04 Feb 2025
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
H. Malik
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
Fahad Shahbaz Khan
Salman Khan
AAML
MLLM
VLM
143
1
0
03 Feb 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
Oubo Ma
L. Du
Yang Dai
Chunyi Zhou
Qingming Li
Yuwen Pu
Shouling Ji
100
2
0
28 Jan 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
Ping He
Lorenzo Cavallaro
Shouling Ji
AAML
211
0
0
23 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
216
1
0
22 Jan 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
Tao Bai
Xingjian Tian
Yonghao Xu
Bihan Wen
AAML
104
0
0
20 Jan 2025
MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI
N. Shah
Ayan Kashyap
Shirish S. Karande
Vineet Gandhi
86
1
0
20 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
220
1
0
20 Jan 2025
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection
Somrita Ghosh
Yuelin Xu
Xiao Zhang
AAML
OOD
88
0
0
15 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo
Cheng Gong
Xi Lin
Fei Liu
Zhichao Lu
Qingfu Zhang
Zhenkun Wang
AAML
118
0
0
13 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
Jialin Wu
Kaikai Pan
Yanjiao Chen
Jiangyi Deng
Shengyuan Pang
Wei Dong
ViT
AAML
125
0
0
13 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Hongxin Zhi
Hongtao Yu
Shaome Li
Xiuming Zhao
Yiteng Wu
OOD
73
0
0
08 Jan 2025
Stability and Generalization in Free Adversarial Training
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
86
3
0
08 Jan 2025
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection
Yihang Tao
Senkang Hu
Yue Hu
Haonan An
Hangcheng Cao
Yuguang Fang
AAML
119
1
0
05 Jan 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
Umesh Yadav
Suman Niraula
Gaurav Kumar Gupta
Bicky Yadav
SILM
186
0
0
04 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede
Modeste Atsague
Jin Tian
AAML
79
0
0
31 Dec 2024
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
Hui Zeng
Sanshuai Cui
Biwei Chen
Anjie Peng
AAML
126
0
0
31 Dec 2024
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
Chunheng Zhao
P. Pisu
G. Comert
N. Begashaw
Varghese Vaidyan
Nina Christine Hubig
AAML
101
0
0
31 Dec 2024
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
Longwei Wang
Navid Nayyem
Abdullah Rakin
AAML
63
0
0
27 Dec 2024
Attribution for Enhanced Explanation with Transferable Adversarial eXploration
Zhiyu Zhu
Jiayu Zhang
Zhibo Jin
Huaming Chen
Jianlong Zhou
Fang Chen
AAML
ViT
88
0
0
27 Dec 2024
Central limit theorems for vector-valued composite functionals with smoothing and applications
Huhui Chen
Darinka Dentcheva
Yang Lin
Gregory J. Stock
109
3
0
26 Dec 2024
Evaluating the Adversarial Robustness of Detection Transformers
A. Nazeri
Chunheng Zhao
P. Pisu
AAML
124
1
0
25 Dec 2024
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning
Alex Beutel
Kai Y. Xiao
Johannes Heidecke
Lilian Weng
AAML
78
7
0
24 Dec 2024
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
Yichen Wang
Yuxuan Chou
Ziqi Zhou
Hangtao Zhang
Wei Wan
Shengshan Hu
Minghui Li
AAML
170
5
0
22 Dec 2024
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
Ziqi Zhou
Bowen Li
Yufei Song
Zhifei Yu
Shengshan Hu
Wei Wan
L. Zhang
Dezhong Yao
Hai Jin
AAML
177
2
0
22 Dec 2024
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
Sipeng Shen
Yunming Zhang
Dengpan Ye
Xiuwen Shi
Long Tang
Haoran Duan
Yueyun Shang
Zhihong Tian
AAML
PICV
233
0
0
22 Dec 2024
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun
Ren Wang
Yihua Zhang
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Sijia Liu
Yan Yan
AAML
MU
172
0
0
21 Dec 2024
Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic Overhead Imagery
Mikael Yeghiazaryan
Sai Abhishek Siddhartha Namburu
Emily Kim
Stanislav Panev
Celso de Melo
Brent Lance
Fernando de la Torre
Jessica K. Hodgins
AAML
130
0
0
20 Dec 2024
Holistic Adversarially Robust Pruning
Qi Zhao
Christian Wressnegger
133
10
0
19 Dec 2024
Landscape of AI safety concerns - A methodology to support safety assurance for AI-based autonomous systems
Ronald Schnitzer
Lennart Kilian
Simon Roessner
Konstantinos Theodorou
Sonja Zillner
134
0
0
18 Dec 2024
Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems
Muyao Niu
Zechao Li
Yifan Zhan
H. Nguyen
Isao Echizen
Yinqiang Zheng
AAML
143
3
0
18 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
178
1
0
18 Dec 2024
Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition
Christian Green
Mehmet Ergezer
Abdurrahman Zeybey
AAML
108
0
0
17 Dec 2024
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
Svetlana Pavlitska
Enrico Eisen
J. Marius Zöllner
AAML
UQCV
MoE
176
1
0
16 Dec 2024
WFCAT: Augmenting Website Fingerprinting with Channel-wise Attention on Timing Features
Jiajun Gong
Wei Cai
Siyuan Liang
Zhong Guan
Tao Wang
Ee-Chien Chang
118
0
0
16 Dec 2024
A Comprehensive Review of Adversarial Attacks on Machine Learning
Syed Quiser Ahmed
Bharathi Vokkaliga Ganesh
Sathyanarayana Sampath Kumar
Prakhar Mishra
Ravi Anand
Bhanuteja Akurathi
AAML
99
0
0
16 Dec 2024
Transferable Adversarial Face Attack with Text Controlled Attribute
Wenyun Li
Zheng Zhang
X. Lan
D. Jiang
AAML
163
2
0
16 Dec 2024
Learning Robust and Privacy-Preserving Representations via Information Theory
Binghui Zhang
Sayedeh Leila Noorbakhsh
Yun Dong
Yuan Hong
Binghui Wang
157
0
0
15 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
Jin Li
Zitong Yu
Ziqiang He
Zhong Wang
Xiangui Kang
AAML
180
0
0
15 Dec 2024
LAN: Learning to Adapt Noise for Image Denoising
Changjin Kim
Tae Hyun Kim
Sungyong Baik
166
4
0
14 Dec 2024
On Evaluating the Durability of Safeguards for Open-Weight LLMs
Xiangyu Qi
Boyi Wei
Nicholas Carlini
Yangsibo Huang
Tinghao Xie
Luxi He
Matthew Jagielski
Milad Nasr
Prateek Mittal
Peter Henderson
AAML
137
22
0
10 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
AAML
167
0
0
04 Dec 2024
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
137
0
0
03 Dec 2024
Adversarial Attacks on Hyperbolic Networks
Max van Spengler
Jan Zahálka
Pascal Mettes
AAML
OOD
180
0
0
02 Dec 2024
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Models
Zhixiang Wang
Guangnan Ye
Xinyu Wang
Siheng Chen
Ziyi Wang
Xingjun Ma
Yu-Gang Jiang
AAML
DiffM
201
0
0
02 Dec 2024
Fall Leaf Adversarial Attack on Traffic Sign Classification
Anthony Etim
Jakub Szefer
AAML
170
3
0
27 Nov 2024
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
Zhen Sun
Tianshuo Cong
Yule Liu
Chenhao Lin
Xinlei He
Rongmao Chen
Xingshuo Han
Xinyi Huang
AAML
174
6
0
26 Nov 2024
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Hanhui Wang
Yihua Zhang
Ruizheng Bai
Yue Zhao
Sijia Liu
Zhuowen Tu
AAML
PICV
167
2
0
25 Nov 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup
K. Liang
Xuelong Dai
Yanjie Li
Dong Wang
Bin Xiao
AAML
527
0
0
23 Nov 2024
Adversarial Prompt Distillation for Vision-Language Models
Lin Luo
Xin Wang
Bojia Zi
Shihao Zhao
Xingjun Ma
Yu-Gang Jiang
AAML
VLM
184
4
0
22 Nov 2024
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