"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice

29 December 2022

Papers citing ""Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice"

50 / 93 papers shown

Title
OverThink: Slowdown Attacks on Reasoning LLMs A. Kumar Jaechul Roh A. Naseh Marzena Karpinska Mohit Iyyer Amir Houmansadr Eugene Bagdasarian LRM 126 20 0 04 Feb 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 194 0 0 23 Jan 2025
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 137 0 0 19 Dec 2024
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks Aditya Kulkarni Vivek Balachandran D. Divakaran Tamal Das AAML 92 4 0 29 Jul 2024
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models Fujiao Ji Kiho Lee Hyungjoon Koo Wenhao You Euijin Choo Hyoungshick Kim Doowon Kim AAML 87 2 0 30 May 2024
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 81 16 0 04 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 49 17 0 30 Jun 2022
The Role of Machine Learning in Cybersecurity Giovanni Apruzzese Pavel Laskov Edgardo Montes de Oca Wissam Mallouli Luis Brdalo Rapa A. Grammatopoulos Fabio Di Franco 73 137 0 20 Jun 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 68 10 0 21 May 2022
SoK: The Impact of Unlabelled Data in Cyberthreat Detection Giovanni Apruzzese Pavel Laskov A.T. Tastemirova 76 31 0 18 May 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 115 8 0 18 Mar 2022
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information Baolin Zheng Peipei Jiang Qian Wang Qi Li Chao Shen Cong Wang Yunjie Ge Qingyang Teng Shenyi Zhang AAML 34 71 0 19 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 134 51 0 13 Oct 2021
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels R. Joyce Edward Raff Charles K. Nicholas 75 16 0 23 Sep 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 56 37 0 21 Aug 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 80 278 0 09 Jul 2021
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Maura Pintor Christian Scano Angelo Sotgiu Ambra Demontis Nicholas Carlini Battista Biggio Fabio Roli AAML 61 28 0 18 Jun 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 76 107 0 17 Jun 2021
On the Robustness of Domain Constraints Ryan Sheatsley Blaine Hoak Eric Pauley Yohan Beugin Mike Weisman Patrick McDaniel AAML OOD 65 25 0 18 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 206 68 0 04 May 2021
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack Luca Pajola Mauro Conti 29 28 0 13 Apr 2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification A. Azizi I. A. Tahmid Asim Waheed Neal Mangaokar Jiameng Pu M. Javed Chandan K. Reddy Bimal Viswanath AAML 65 80 0 07 Mar 2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples Shehzeen Samarah Hussain Paarth Neekhara Shlomo Dubnov Julian McAuley F. Koushanfar AAML 65 74 0 04 Mar 2021
Dompteur: Taming Audio Adversarial Examples Thorsten Eisenhofer Lea Schonherr Joel Frank Lars Speckemeier D. Kolossa Thorsten Holz AAML 59 24 0 10 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 77 51 0 08 Feb 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley AAML 71 56 0 01 Feb 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 134 223 0 11 Jan 2021
Data Poisoning Attacks to Deep Learning Based Recommender Systems Hai Huang Jiaming Mu Neil Zhenqiang Gong Qi Li Bin Liu Mingwei Xu AAML 76 129 0 07 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 164 121 0 05 Jan 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 169 643 0 27 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 492 1,923 0 14 Dec 2020
Practical No-box Adversarial Attacks against DNNs Qizhang Li Yiwen Guo Hao Chen AAML 63 59 0 04 Dec 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA Adnan Siraj Rakin Yukui Luo Xiaolin Xu Deliang Fan AAML 60 50 0 05 Nov 2020
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification Erwin Quiring Lukas Pirch Michael Reimsbach Dan Arp Konrad Rieck AAML 36 13 0 19 Oct 2020
DeepDyve: Dynamic Verification for Deep Neural Networks Yu Li Min Li Bo Luo Ye Tian Qiang Xu AAML 58 31 0 21 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Sahar Abdelnabi Mario Fritz WaLM 51 151 0 07 Sep 2020
SIGL: Securing Software Installations Through Deep Graph Learning Xueyuan Han Xiao Yu Thomas Pasquier Ding Li J. Rhee James W. Mickens Margo Seltzer Haifeng Chen 63 49 0 26 Aug 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 75 245 0 30 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 67 129 0 13 Jul 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 65 102 0 08 Jul 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion R. Schuster Congzheng Song Eran Tromer Vitaly Shmatikov SILM AAML 105 156 0 05 Jul 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 83 101 0 23 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 55 171 0 21 Jun 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 110 304 0 08 May 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 83 229 0 05 May 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 57 270 0 31 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 345 373 0 24 Mar 2020
TSS: Transformation-Specific Smoothing for Robustness Certification Linyi Li Maurice Weber Xiaojun Xu Luka Rimanic B. Kailkhura Tao Xie Ce Zhang Yue Liu AAML 89 57 0 27 Feb 2020
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 77 220 0 27 Feb 2020
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps Zhichuang Sun Ruimin Sun Long Lu Alan Mislove 75 78 0 18 Feb 2020