Adversarial Examples

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Adversarial Examples

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Adversarial Transferability

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UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems
Apr 25, 2026Jingyu Zhang, Jacky Wai Keung, Yan Xiao +3Autonomous Driving Adversarial Examples
Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
Apr 25, 2026Zihui Zhu, Ziqi Zhou, Yichen Wang +3Adversarial Examples Autonomous Driving
Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations
Apr 24, 2026Lukáš Hrdonka, Martin JurečekAdversarial Examples
Useful nonrobust features are ubiquitous in biomedical images
Apr 24, 2026Coenraad Mouton, Randle Rabe, Niklas C. Koser +4Medical Image Classification Medical Imaging
Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models
Apr 24, 2026Shihui Yan, Ziqi Zhou, Yufei Song +3Pedestrian Detection Adversarial Examples
Breaking Watermarks in the Frequency Domain: A Modulated Diffusion Attack Framework
Apr 24, 2026Chunpeng Wang, Binyan Qu, Xiaoyu Wang +4Watermarking Discrete Diffusion Model
DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion
Apr 23, 2026Tahar Chettaoui, Eduarda Caldeira, Guray Ozgur +3Facial Recognition Identity-Conditioned Latent Diffusion Models
AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing
Apr 23, 2026Wenmin Huang, Weiqi Luo, Xiaochun Cao +1Diffusion Editing Discrete Diffusion Model
Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models
Apr 22, 2026Yannis Belkhiter, Giulio Zizzo, Sergio Maffeis +2Language Model Evasion Attacks Hijacking
FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods
Apr 22, 2026Chao Pan, Xin YaoAdversarial Transferability Adversarial Training
Benign Overfitting in Adversarial Training for Vision Transformers
Apr 21, 2026Jiaming Zhang, Meng Ding, Shaopeng Fu +2Self-Supervised Vision Transformers Adversarial Training
Duality for the Adversarial Total Variation
Apr 20, 2026Leon Bungert, Lucas SchmittAdversarial Training Duality
MetaCloak-JPEG: JPEG-Robust Adversarial Perturbation for Preventing Unauthorized DreamBooth-Based Deepfake Generation
Apr 20, 2026Tanjim Rahaman Fardin, S M Zunaid Alam, Mahadi Hasan Fahim +1Explainable Deepfake Detection Adversarial Examples
R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection
Apr 19, 2026Raghavendra RamachandraDetection Framework Biometrics
Local Inconsistency Resolution: The Interplay between Attention and Control in Probabilistic Models
Apr 18, 2026Oliver E. Richardson, Mandana Samiei, Mehran Shakerinava +4Probabilistic Inference Singular Learning Theory
RoIt-XMASA: Multi-Domain Multilingual Sentiment Analysis Dataset for Romanian and Italian
Apr 18, 2026Andrei-Marius Avram, Aureliu Valentin Antonie, Cosmin-Mircea Croitoru +2Sentiment Analysis Adversarial Transferability
Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification
Apr 18, 2026Antonio Valerio Miceli Barone, Poon Tsz NokEquivalence Mock-Interface Synthesis
CBRS: Cognitive Blood Request System with Bilingual Dataset and Dual-Layer Filtering for Multi-Platform Social Streams
Apr 17, 2026Anik Saha, Mst. Fahmida Sultana Naznin, Zia Ul Hassan Abdullah +3Multilingual Data Crowdsourced Framework
APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
Apr 17, 2026Geunyoung Jung, Soohong Kim, Inseok Kong +1Point Cloud Data Adversarial Examples
Beyond Attack Success Rate: A Multi-Metric Evaluation of Adversarial Transferability in Medical Imaging Models
Apr 16, 2026Emily Curl, Kofi Ampomah, Md Erfan +1Adversarial Transferability Medical Imaging Datasets
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
Apr 16, 2026Weiwei Zhuang, Wangze Xie, Qi Zhang +9Fog Adversarial Transferability
Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
Apr 9, 2026Andrew Qing He, Wei Cai, Sihong ShaoPhase Space Quantum Neural Networks
Learning from Equivalence Queries, Revisited
Apr 6, 2026Mark Braverman, Roi Livni, Yishay Mansour +2Equivalence Adversarial Training
Perturbation: A simple and efficient adversarial tracer for representation learning in language models
Mar 25, 2026Joshua Rozner, Cory ShainPerturbations Model Activations
LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
Feb 21, 2026Abdullah Caglar Oksuz, Anisa Halimi, Erman AydayMembership Inference Attacks Membership Inference
MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis
Feb 19, 2026Junkai Liu, Ling Shao, Le ZhangMedical Image Generation 3D Latent Diffusion Model
Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection
Feb 16, 2026Chanhui Lee, Donggyu Choi, Seunghyun Shin +2Diffusion Editing Adversarial Transferability
Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language Models
Feb 4, 2026Jaehyun Kwak, Nam Cao, Boryeong Cho +3Adversarial Examples Large Vision Language Models
HyperNet-Adaptation for Diffusion-Based Test Case Generation
Jan 21, 2026Oliver Weißl, Vincenzo Riccio, Severin Kacianka +1Generative Adversarial Network Test Generation
Safety Is Not Universal: The Selective Safety Trap in LLM Alignment
Jan 7, 2026Iago Alves Brito, Walcy Santos Rezende Rios, Julia Soares Dollis +2Large Language Model Safety Large Language Model Alignment
6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models
Dec 3, 2025Leon Mayer, Piotr Kalinowski, Caroline Ebersbach +6Medical Vision-Language Models Multimodal Benchmarks
Enhancing Adversarial Transferability through Block Stretch and Shrink
Nov 21, 2025Quan Liu, Feng Ye, Chenhao Lu +4Adversarial Transferability Transformation-Based Attacks
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
Nov 12, 2025Tairan Huang, Yulin Jin, Junxu Liu +2Adversarial Examples Deep Reinforcement Learning
Rethinking Robust Adversarial Concept Erasure in Diffusion Models
Oct 31, 2025Qinghong Yin, Yu Tian, Heming Yang +5Concept Erasure Adversarial Transferability
Solver-Integrated Adversarial Attacking and Training of Neural Operators
Oct 21, 2025Yifei SunNeural Operators Adversarial Transferability
UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
Oct 19, 2025Mansi Phute, Matthew Hull, Haoran Wang +6Differentiable Rendering Adversarial Examples
VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models
Aug 11, 2025Mansi Phute, Ravikumar BalakrishnanLarge Vision Language Models Activation Steering
Data Security in Large Language Models: Risks, Defense, and Directions
Aug 4, 2025Kang Chen, Xiuze Zhou, Yuanhui Yu +4Large Language Model Safety Adversarial Training
Random Walk Learning and the Pac-Man Attack
Aug 1, 2025Xingran Chen, Parimal Parag, Rohit Bhagat +2Worst-Case Adversarial Training
On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
Jun 14, 2025Matteo Vilucchio, Lenka Zdeborová, Bruno LoureiroAdversarial Examples Empirical Risk Minimization
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection
May 19, 2025Sanggeon Yun, Ryozo Masukawa, Hyunwoo Oh +2Adversarial Examples Domain Shift
Evaluating the Scalability and Adversarial Generalization of GRPO-Trained NLI Models
Apr 25, 2025Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1Natural Language Inference Adversarial Training
Mirror Descent Linearized Augmented Lagrangian Methods for Nonconvex Constrained Stochastic Zeroth-Order Optimization
Apr 13, 2025Qiankun Shi, Han Yuan, Xiao Wang +1Stochastic Smooth Convex Optimization Mirror Descent
Unified Enhancement of the Generalization and Robustness of Language Models via Bi-Stage Optimization
Mar 19, 2025Yudao Sun, Juan Yin, Juan Zhao +3Adversarial Training Dropout
Approaching the Harm of Gradient Attacks While Only Flipping Labels
Feb 28, 2025Abdessamad El-Kabid, El-Mahdi El-MhamdiCandidate Label Distributions Adversarial Examples
Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability
Feb 24, 2025Wenyuan Wu, Yuan Sun, Yingke Chen +4Adversarial Transferability Chain-Of-Thought Distillation
Exploiting Vision Encoder Vulnerabilities for Universal Adversarial Perturbations on Large Vision-Language Models
Dec 11, 2024Hee-Seon Kim, Minbeom Kim, Seokil Ham +1Large Vision Language Models Adversarial Examples
Stealthy Multi-Task Adversarial Attacks
Nov 26, 2024Jiacheng Guo, Tianyun Zhang, Lei Li +3Adversarial Examples Multi--Task Learning
Adversarial Robustness of AI-Generated Image Detectors in the Real World
Oct 2, 2024Sina Mavali, Jonas Ricker, David Pape +2Ai-Generated Image Detection Machine-Generated Text Detection
Expected flow networks in stochastic environments and two-player zero-sum games
Oct 4, 2023Marco Jiralerspong, Bilun Sun, Danilo Vucetic +4Generative Flow Networks Self-Play
Adversarial Rademacher Complexity of Deep Neural Networks
Nov 27, 2022Jiancong Xiao, Yanbo Fan, Ruoyu Sun +1Adversarial Training Generalization Bounds
MRI-based Deep Radiomic Phenotyping of Neuromuscular Disorders: A Topology-driven Characterization
Date pendingMartyna Żur, \Lukasz Piórecki, Marek Socha +5Key Vertebral Morphometry Variables Biomarker
Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
Date pendingKamel Kamel, Hridoy Sankar Dutta, Keshav Sood +1Spoofed Speech Cross-Lingual Voice Cloning
PEARL: Structural Privacy-Utility Control in Human-Centric CPS via Personalized Early-Exit Deep Reinforcement Learning
Date pendingMojtaba Taherisadr, Salma ElmalakiEfficient Privacy Loss Cyber-Physical System
Guided Adversarial Robust Transfer Learning with Source Mixing
Date pendingXin Xiong, Zijian Guo, Tianxi CaiTransfer Learning Adversarial Transferability

Apr 25, 2026 · cs.SEJ/K move · Enter open · S save

UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems

Jingyu Zhang, Jacky Wai Keung, Yan Xiao, Yihan Liao+2

Adversarial attacks play a pivotal role in testing and improving the reliability of deep learning (DL) systems. Existing literature has demonstrated that subtle perturbations to the input can elicit erroneous outcomes, thereby substantially compromising the security of DL systems. This has emerged as a critical concern in the development of DL-based safety-critical systems like Autonomous Driving Systems (ADSs). The focus of existing adversarial attack methods on End-to-End (E2E) ADSs has predominantly centered on misbehaviors of steering angle, which overlooks speed-related controls or imperceptible perturbations. To address these challenges, we introduce UniAda, a multi-objective white-box attack technique with a core function that revolves around crafting an image-agnostic adversarial perturbation capable of simultaneously influencing both steering and speed controls. UniAda capitalizes on an intricately designed multi-objective optimization function with the Adaptive Weighting Scheme (AWS), enabling the concurrent optimization of diverse objectives. Validated with both simulated and real-world driving data, UniAda outperforms five benchmarks across two metrics, inducing steering and speed deviations from 3.54 degrees to 29 degrees and 11 km per hour to 22 km per hour on average. This systematic approach establishes UniAda as a proven technique for adversarial attacks on modern DL-based E2E ADSs.

Autonomous Driving Adversarial Examples Unison

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