Simulating Unknown Target Models For Query Efficient Black Box Attacks

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Details Black-Box Attacks | Lecture 18 (Part 2) | Applied Deep Learning (Supplementary) Update

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Recent Updates

Full Black-box Adversarial Attacks for Deep Driving Maneuver Classification Models - Dr. Haiying Shen Update

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HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

Targeted Adversarial Examples for Black Box Audio Systems

ICICS 2022: Query-Efficient Black-box Adversarial Attack with Random Pattern Noises

USENIX Security '20 - Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited

Query Efficient Black Box Adversarial Attacks on Automatic Speech Recognition

NDSS 2025 - Black-box Membership Inference Attacks against Fine-tuned Diffusion Models

Hear “No Evil”, See “Kenansville”: Efficient and Transferable Black-Box Attacks on Automatic ...

From Queries to Clones: A Systematic Study of Encoder Stealing Attacks (TMLR 2026)

GeoDA: A Geometric Framework for Black-Box Adversarial Attacks

Black-Box Attacks (Continued) | Lecture 19 (Part 1) | Applied Deep Learning (Supplementary)

QEBA: Query-Efficient Boundary-Based Blackbox Attack

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Last Updated: September 28, 2026

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Information On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks Guide

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This a video commentary for the CVPR 2021 paper: In a connected autonomous vehicle (CAV) scenario, each vehicle utilizes an onboard deep neural network (DNN) Authors: Junyoung Byun (KAIST); Hyojun Go (KAIST); Changick Kim (KAIST)* Description: While deep neural networks show ... Targeted Adversarial Examples for Authors: Makoto Yuito, Kenta Suzuki and Kazuki Yoneyama Abstract: Adversarial examples are one of the largest vulnerability of ... SESSION Session 12C: Membership Inference Network and Distributed System Security (NDSS) Symposium 2025, 24 February ... [Full Presentation] Hear “No Evil”, See “Kenansville”: DESCRIPTION Encoder-as-a-Service APIs expose Authors: Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai Description: Adversarial examples are ... Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li Description: Machine learning (ML), especially deep neural ...

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