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What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning
26 February 2021
Jonas Geiping
Liam H. Fowl
Gowthami Somepalli
Micah Goldblum
Michael Moeller
Tom Goldstein
TDI
AAML
SILM
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Papers citing
"What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning"
21 / 21 papers shown
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
Wei Qian
Chenxu Zhao
Yangyi Li
Wenqian Ye
Mengdi Huai
AAML
337
2
0
10 Aug 2025
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Vishnu Kabir Chhabra
Ding Zhu
Mohammad Mahdi Khalili
408
5
0
27 Feb 2025
Clean Label Attacks against SLU Systems
Spoken Language Technology Workshop (SLT), 2024
Lin Zhang
Sonal Joshi
Thomas Thebaud
Jesus Villalba
Najim Dehak
Sanjeev Khudanpur
AAML
232
3
0
13 Sep 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Zhenxing Niu
Yuyao Sun
Qiguang Miao
Rong Jin
Gang Hua
AAML
288
16
0
28 May 2024
SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks
Transactions of the Association for Computational Linguistics (TACL), 2024
Xuanli He
Xingliang Yuan
Jun Wang
Benjamin I. P. Rubinstein
Trevor Cohn
AAML
223
7
0
19 May 2024
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
Fabio De Gaspari
Dorjan Hitaj
Luigi V. Mancini
AAML
TDI
219
11
0
20 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
Sanghyun Hong
Nicholas Carlini
Alexey Kurakin
DiffM
365
3
0
18 Mar 2024
Immunization against harmful fine-tuning attacks
Domenic Rosati
Jan Wehner
Kai Williams
Lukasz Bartoszcze
Jan Batzner
Hassan Sajjad
Frank Rudzicz
AAML
346
35
0
26 Feb 2024
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
David Noever
Forrest McKee
AAML
229
1
0
15 Feb 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Yuancheng Xu
Jiarui Yao
Manli Shu
Yanchao Sun
Zichu Wu
Ning Yu
Tom Goldstein
Furong Huang
AAML
354
48
0
05 Feb 2024
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception
Forrest McKee
David Noever
AAML
853
2
0
29 Jan 2024
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
International Conference on Machine Learning (ICML), 2023
Wenhan Yang
Jingdong Gao
Baharan Mirzasoleiman
VLM
434
20
0
05 Oct 2023
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks
Industrial Conference on Data Mining (IDM), 2023
Minh-Hao Van
Alycia N. Carey
Xintao Wu
TDI
AAML
314
3
0
15 Sep 2023
Global Differential Privacy for Distributed Metaverse Healthcare Systems
iMeta (iMeta), 2023
Mehdi Letafati
Safa Otoum
OOD
303
9
0
22 Jul 2023
Digital Healthcare in The Metaverse: Insights into Privacy and Security
IEEE Consumer Electronics Magazine (IEEE CEM), 2023
Mehdi Letafati
Safa Otoum
119
21
0
22 Jul 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks
Nils Lukas
Florian Kerschbaum
340
1
0
07 May 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Conference on Computer and Communications Security (CCS), 2023
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
416
3
0
09 Feb 2023
Projected Subnetworks Scale Adaptation
Siddhartha Datta
N. Shadbolt
VLM
CLL
270
0
0
27 Jan 2023
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain
Vesal Ahsani
Alireza Rahimi
Mehdi Letafati
B. Khalaj
466
18
0
01 Jan 2023
On the Effectiveness of Adversarial Training against Backdoor Attacks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yinghua Gao
Dongxian Wu
Jingfeng Zhang
Guanhao Gan
Shutao Xia
Gang Niu
Masashi Sugiyama
AAML
226
32
0
22 Feb 2022
Poison Ink: Robust and Invisible Backdoor Attack
IEEE Transactions on Image Processing (TIP), 2021
Jie Zhang
Dongdong Chen
Qidong Huang
Jing Liao
Weiming Zhang
Huamin Feng
G. Hua
Nenghai Yu
AAML
411
118
0
05 Aug 2021
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