Capital choice of anonymization
November 1, 2026 at 4:23 PM
Capital choice of anonymization
I assume they got pre-anonymization snapshots? Like. Not sure how else you'd do that.
November 2, 2026 at 3:03 PM
I assume they got pre-anonymization snapshots? Like. Not sure how else you'd do that.
Other people have said it better than I, but basically age gating is in practice de-anonymization. Your setup has been tried, and huge amounts of personal data have been leaked. Accounts have been linked to real people.
November 3, 2026 at 8:18 PM
Other people have said it better than I, but basically age gating is in practice de-anonymization. Your setup has been tried, and huge amounts of personal data have been leaked. Accounts have been linked to real people.
Selecting fewer fields is not anonymization.
Mock training record: you drop email, but messages[].content still contains it.
Before sharing JSONL/Parquet/Arrow results with an AI client, review text and nested values too.
RowCove team (commercial tool).
#DataEngineering
Mock training record: you drop email, but messages[].content still contains it.
Before sharing JSONL/Parquet/Arrow results with an AI client, review text and nested values too.
RowCove team (commercial tool).
#DataEngineering
November 3, 2026 at 3:47 PM
Selecting fewer fields is not anonymization.
Mock training record: you drop email, but messages[].content still contains it.
Before sharing JSONL/Parquet/Arrow results with an AI client, review text and nested values too.
RowCove team (commercial tool).
#DataEngineering
Mock training record: you drop email, but messages[].content still contains it.
Before sharing JSONL/Parquet/Arrow results with an AI client, review text and nested values too.
RowCove team (commercial tool).
#DataEngineering
📦 adt/doctrine-anonymization v0.4
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
October 31, 2026 at 5:59 PM
📦 adt/doctrine-anonymization v0.4
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
📦 adt/doctrine-anonymization v0.4.1
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
October 31, 2026 at 5:59 PM
📦 adt/doctrine-anonymization v0.4.1
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
Marks personal data on Doctrine entities and generates anonymized read-only database views from them
🔗 https://github.com/AppsDevTeam/doctrine-anonymization
TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization
Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang
http://arxiv.org/abs/2610.41642
Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang
http://arxiv.org/abs/2610.41642
November 2, 2026 at 4:54 AM
TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization
Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang
http://arxiv.org/abs/2610.41642
Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang
http://arxiv.org/abs/2610.41642
Medical image annotation isn't just about accuracy. Patient privacy matters just as much. Strong access controls, encryption, and proper anonymization are essential when handling sensitive medical data.
November 4, 2026 at 3:43 AM
Medical image annotation isn't just about accuracy. Patient privacy matters just as much. Strong access controls, encryption, and proper anonymization are essential when handling sensitive medical data.
Absolutely. Sensitive information can easily remain hidden in free-text fields, nested objects, and metadata. Proper anonymization needs to inspect the entire data payload, not just remove a few selected fields.
November 4, 2026 at 3:35 AM
Absolutely. Sensitive information can easily remain hidden in free-text fields, nested objects, and metadata. Proper anonymization needs to inspect the entire data payload, not just remove a few selected fields.
“We refute the claim about the possible de-anonymization of one of us.
By the way, the funniest part is that the entire theory about the freak from Rostov is based on the fact that the "sender" field for a 2025 graphics card says "hitcore". Of course, he has no relation to us.”
By the way, the funniest part is that the entire theory about the freak from Rostov is based on the fact that the "sender" field for a 2025 graphics card says "hitcore". Of course, he has no relation to us.”
November 2, 2026 at 11:51 AM
“We refute the claim about the possible de-anonymization of one of us.
By the way, the funniest part is that the entire theory about the freak from Rostov is based on the fact that the "sender" field for a 2025 graphics card says "hitcore". Of course, he has no relation to us.”
By the way, the funniest part is that the entire theory about the freak from Rostov is based on the fact that the "sender" field for a 2025 graphics card says "hitcore". Of course, he has no relation to us.”
leadership: we're sending out a survey for feedback specifically about me and how i listen to the team
me: i don't think the team should fill out a form that's not coming from HR's anonymization form tool
leadership: thanks for that feedback but that won't be addressed
me: i don't think the team should fill out a form that's not coming from HR's anonymization form tool
leadership: thanks for that feedback but that won't be addressed
October 28, 2026 at 5:55 PM
leadership: we're sending out a survey for feedback specifically about me and how i listen to the team
me: i don't think the team should fill out a form that's not coming from HR's anonymization form tool
leadership: thanks for that feedback but that won't be addressed
me: i don't think the team should fill out a form that's not coming from HR's anonymization form tool
leadership: thanks for that feedback but that won't be addressed
Smart Reports lets managers summarize and monitor employee use of Claude, including cost and output efficiency, while claiming anonymization security remains uncertain.
Save What Matters
Curate Feeds | Make Collections | Customize Email Briefs
briefly.co
November 3, 2026 at 6:14 PM
Smart Reports lets managers summarize and monitor employee use of Claude, including cost and output efficiency, while claiming anonymization security remains uncertain.
Smart Reports lets managers summarize and monitor employee use of Claude, including cost and output efficiency, while claiming anonymization security remains uncertain.
Save What Matters
Curate Feeds | Make Collections | Customize Email Briefs
briefly.co
November 3, 2026 at 6:14 PM
Smart Reports lets managers summarize and monitor employee use of Claude, including cost and output efficiency, while claiming anonymization security remains uncertain.
did they scrape the backend somehow to get that info or is it some anonymization flaw? (also possible because it was a hacked workaround implemented after the fact iirc)
November 2, 2026 at 4:47 PM
did they scrape the backend somehow to get that info or is it some anonymization flaw? (also possible because it was a hacked workaround implemented after the fact iirc)
Good data governance needs to go beyond collecting and classifying data. Anonymization, traceability, and clear data ownership are just as important, especially when that data is used to train and deploy AI systems.
November 4, 2026 at 3:44 AM
Good data governance needs to go beyond collecting and classifying data. Anonymization, traceability, and clear data ownership are just as important, especially when that data is used to train and deploy AI systems.
This is a serious reminder that anonymization can fail when separate datasets are combined. Protecting voter privacy requires more than removing names or IDs; it also means checking whether records can be linked back to individuals.
November 4, 2026 at 3:39 AM
This is a serious reminder that anonymization can fail when separate datasets are combined. Protecting voter privacy requires more than removing names or IDs; it also means checking whether records can be linked back to individuals.
Ford won't sell your driving data to brokers! We're protecting it via aggregation & anonymization, promising transparency, & giving you control over what's shared. "Trust must be earned," says Chief Privacy Officer Christine Jones. #Ford #Privacy #DataSecurity
November 3, 2026 at 2:32 AM
Ford won't sell your driving data to brokers! We're protecting it via aggregation & anonymization, promising transparency, & giving you control over what's shared. "Trust must be earned," says Chief Privacy Officer Christine Jones. #Ford #Privacy #DataSecurity
What do LLMs actually remember?
At the Pre-EMNLP Symposium in Darmstadt, Ivan Habernal explored privacy, copyright, unlearning & anonymization – and why trustworthy AI also depends on trustworthy evaluation.
👉 rc-trust.ai/news/news-de...
Photo: © Ilyas Özşen/TU Darmstadt
At the Pre-EMNLP Symposium in Darmstadt, Ivan Habernal explored privacy, copyright, unlearning & anonymization – and why trustworthy AI also depends on trustworthy evaluation.
👉 rc-trust.ai/news/news-de...
Photo: © Ilyas Özşen/TU Darmstadt
November 4, 2026 at 2:47 PM
What do LLMs actually remember?
At the Pre-EMNLP Symposium in Darmstadt, Ivan Habernal explored privacy, copyright, unlearning & anonymization – and why trustworthy AI also depends on trustworthy evaluation.
👉 rc-trust.ai/news/news-de...
Photo: © Ilyas Özşen/TU Darmstadt
At the Pre-EMNLP Symposium in Darmstadt, Ivan Habernal explored privacy, copyright, unlearning & anonymization – and why trustworthy AI also depends on trustworthy evaluation.
👉 rc-trust.ai/news/news-de...
Photo: © Ilyas Özşen/TU Darmstadt
Nishi Kanta Paul, Md Shihabul Islam Shovo, D\'esir\'e Sidib\'e: LAPIS: Clinically Constrained Patient-Identity Residual Learning for Chest X-Ray Anonymization https://arxiv.org/abs/2610.40722 https://arxiv.org/pdf/2610.40722 https://arxiv.org/html/2610.40722
November 2, 2026 at 6:45 AM
Nishi Kanta Paul, Md Shihabul Islam Shovo, D\'esir\'e Sidib\'e: LAPIS: Clinically Constrained Patient-Identity Residual Learning for Chest X-Ray Anonymization https://arxiv.org/abs/2610.40722 https://arxiv.org/pdf/2610.40722 https://arxiv.org/html/2610.40722
Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang: TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization https://arxiv.org/abs/2610.41642 https://arxiv.org/pdf/2610.41642 https://arxiv.org/html/2610.41642
November 2, 2026 at 6:40 AM
Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang: TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization https://arxiv.org/abs/2610.41642 https://arxiv.org/pdf/2610.41642 https://arxiv.org/html/2610.41642
Promo: LogBrief groups small text logs by severity keywords in your browser and exports a TXT summary. Logs stay local. Masking is partial, not anonymization. Free, with optional support. AI-assisted project.
logbrief-local.toastycrane258.chatgpt.site
logbrief-local.toastycrane258.chatgpt.site
October 30, 2026 at 10:56 AM
Promo: LogBrief groups small text logs by severity keywords in your browser and exports a TXT summary. Logs stay local. Masking is partial, not anonymization. Free, with optional support. AI-assisted project.
logbrief-local.toastycrane258.chatgpt.site
logbrief-local.toastycrane258.chatgpt.site
Stanis{\l}aw Kacprzak, Thomas Thebaud, Najim Dehak: Toward Complete Speaker Anonymization: a Streaming Cascaded System for Voice Privacy and PII Removal https://arxiv.org/abs/2610.39754 https://arxiv.org/pdf/2610.39754 https://arxiv.org/html/2610.39754
October 30, 2026 at 6:44 AM
Stanis{\l}aw Kacprzak, Thomas Thebaud, Najim Dehak: Toward Complete Speaker Anonymization: a Streaming Cascaded System for Voice Privacy and PII Removal https://arxiv.org/abs/2610.39754 https://arxiv.org/pdf/2610.39754 https://arxiv.org/html/2610.39754
#Shopware CLI 0.19.2 extends project dump. Anonymize to support extension-defined rules, helping protect sensitive data and credentials in staging dumps. An AI agent Skill can draft anonymization rules for your extensions. www.shopware.com/en/news/new-...
New in Shopware CLI: Anonymize extension data in database dumps
Shopware CLI 0.19.2 adds extension-specific anonymization rules to safer staging dumps, plus an AI agent Skill to help draft them.
www.shopware.com
October 29, 2026 at 12:53 PM
#Shopware CLI 0.19.2 extends project dump. Anonymize to support extension-defined rules, helping protect sensitive data and credentials in staging dumps. An AI agent Skill can draft anonymization rules for your extensions. www.shopware.com/en/news/new-...
AOL chat rooms could be toxic af back in the day... I think the weird anonymization of not just handles, but suddenly having regular communications with so many people outside the realm of what most consider their "real lives" is at least one root cause for the meanness.
October 27, 2026 at 9:00 PM
AOL chat rooms could be toxic af back in the day... I think the weird anonymization of not just handles, but suddenly having regular communications with so many people outside the realm of what most consider their "real lives" is at least one root cause for the meanness.
