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Ensemble Adversarial Training: Attacks and Defenses

v1v2v3v4v5 (latest)

Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Florian Tramèr

Nicolas Papernot

Dan Boneh

Patrick McDaniel

ArXiv (abs)PDF HTML

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

50 / 1,471 papers shown

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization

Md Akil Raihan Iftee

Syed Md. Ahnaf Hasan

AAML FedML SILM TTA

302

0

0

24 Nov 2025

Vision-Motion-Reference Alignment for Referring Multi-Object Tracking via Multi-Modal Large Language Models

Vision-Motion-Reference Alignment for Referring Multi-Object Tracking via Multi-Modal Large Language Models

118

0

0

21 Nov 2025

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning

Ghassan O. Karame

248

0

0

17 Nov 2025

DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks

DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks

113

0

0

13 Nov 2025

Deep learning models are vulnerable, but adversarial examples are even more vulnerable

Deep learning models are vulnerable, but adversarial examples are even more vulnerable

228

0

0

07 Nov 2025

Beyond Deceptive Flatness: Dual-Order Solution for Strengthening Adversarial Transferability

Beyond Deceptive Flatness: Dual-Order Solution for Strengthening Adversarial TransferabilityPattern Recognition (Pattern Recogn.), 2025

259

0

0

03 Nov 2025

Probabilistic Robustness for Free? Revisiting Training via a Benchmark

Probabilistic Robustness for Free? Revisiting Training via a Benchmark

Siddartha Khastgir

427

1

0

03 Nov 2025

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling

483

0

0

01 Nov 2025

ANCHOR: Integrating Adversarial Training with Hard-mined Supervised Contrastive Learning for Robust Representation Learning

ANCHOR: Integrating Adversarial Training with Hard-mined Supervised Contrastive Learning for Robust Representation Learning

Samarup Bhattacharya

Anubhab Bhattacharya

Abir Chakraborty

127

0

0

31 Oct 2025

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense

152

1

0

31 Oct 2025

SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation

SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation

138

0

0

29 Oct 2025

A New Type of Adversarial Examples

A New Type of Adversarial Examples

295

0

0

22 Oct 2025

Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness

Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness

Ifrat Ikhtear Uddin

255

2

0

17 Oct 2025

When Flatness Does (Not) Guarantee Adversarial Robustness

When Flatness Does (Not) Guarantee Adversarial Robustness

Nils Philipp Walter

134

1

0

16 Oct 2025

The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

Nicholas Carlini

Chawin Sitawarin

Sander Schulhoff

...

Abhradeep Thakurta

Kai Yuanqing Xiao

179

14

0

10 Oct 2025

SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense

SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense

112

0

0

09 Oct 2025

Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties

Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties

Gesina Schwalbe

120

0

0

01 Oct 2025

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification

145

0

0

30 Sep 2025

Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier

Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier

136

1

0

30 Sep 2025

Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail

Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail

Luu Trung Duong

Truong Cong Thang

234

1

0

28 Sep 2025

A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness

A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness

Abdul-Rauf Nuhu

Benjamin Lartey

185

0

0

23 Sep 2025

Semantic Representation Attack against Aligned Large Language Models

Semantic Representation Attack against Aligned Large Language Models

242

1

0

18 Sep 2025

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition

157

0

0

09 Sep 2025

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation

Yasser Benigmim

Imad Eddine Marouf

Vicky Kalogeiton

Stéphane Lathuilière

168

0

0

30 Aug 2025

Learning from Peers: Collaborative Ensemble Adversarial Training

Learning from Peers: Collaborative Ensemble Adversarial Training

156

0

0

27 Aug 2025

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection

94

3

0

20 Aug 2025

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers

171

1

0

17 Aug 2025

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks

Muhammad Shafique

83

0

0

16 Aug 2025

The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness

The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness

252

0

0

05 Aug 2025

Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems

Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems

Ognjen Arandjelović

206

3

0

03 Aug 2025

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation

Syed Muhammad Talha Zaidi

214

0

0

28 Jul 2025

Disrupting Semantic and Abstract Features for Better Adversarial Transferability

Disrupting Semantic and Abstract Features for Better Adversarial Transferability

161

0

0

21 Jul 2025

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training

148

2

0

14 Jul 2025

DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective

DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective

242

7

0

08 Jul 2025

ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models

ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models

263

2

0

08 Jul 2025

Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features

Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features

210

0

0

26 Jun 2025

Pixel-Optimization-Free Patch Attack on Stereo Depth Estimation

Pixel-Optimization-Free Patch Attack on Stereo Depth Estimation

214

0

0

21 Jun 2025

Exploring Visual Prompting: Robustness Inheritance and Beyond

Exploring Visual Prompting: Robustness Inheritance and Beyond

Zhouqiang Jiang

212

0

0

07 Jun 2025

Enabling Validation for Robust Few-Shot Recognition

Enabling Validation for Robust Few-Shot Recognition

445

1

0

05 Jun 2025

Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness

Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness

395

0

0

04 Jun 2025

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment

246

0

0

02 Jun 2025

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition

296

0

0

29 May 2025

Understanding Adversarial Training with Energy-based Models

Understanding Adversarial Training with Energy-based Models

Mujtaba Hussain Mirza

Maria Rosaria Briglia

Filippo Bartolucci

270

0

0

28 May 2025

How Do Diffusion Models Improve Adversarial Robustness?

How Do Diffusion Models Improve Adversarial Robustness?

479

0

0

28 May 2025

Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion

Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion

436

0

0

27 May 2025

Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency

Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency

Subrat Kishore Dutta

412

0

0

19 May 2025

Adversarially Robust Spiking Neural Networks with Sparse Connectivity

Adversarially Robust Spiking Neural Networks with Sparse Connectivity

Mathias Schmolli

Maximilian Baronig

Robert Legenstein

Ozan Özdenizci

198

0

0

16 May 2025

Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking

Towards Adaptive Meta-Gradient Adversarial Examples for Visual TrackingIEEE Transactions on Reliability (IEEE Trans. Reliab.), 2025

236

2

0

13 May 2025

How to Backdoor the Knowledge Distillation

How to Backdoor the Knowledge Distillation

242

1

0

30 Apr 2025

Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation

Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation

243

0

0

23 Apr 2025

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