conftrace_

evasion attack

31 papers

Explore in graph

Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) poisoning attack (98) adversarial learning (1595) adversarial example (564) adversarial perturbation (384) gradient attack (16) white-box attack (38) large language model (13587) neural network (6616)

Papers

Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs COLING 2025
Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems ACL 2025
Evading Data Provenance in Deep Neural Networks ICCV 2025
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method AAAI 2025
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models AAAI 2025
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NIPS 2024
Faster Repeated Evasion Attacks in Tree Ensembles NIPS 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NIPS 2024
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack ICCV 2023
Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs AAAI 2023
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification NIPS 2023
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks IJCAI 2022
Universal Evasion Attacks on Summarization Scoring EMNLP 2022
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future IJCAI 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors ICML 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks ICML 2022
Characterizing the Evasion Attackability of Multi-label Classifiers AAAI 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation AAAI 2021
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021
Adversarial Examples Make Strong Poisons NIPS 2021
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion IJCAI 2020