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About HUSH

Hush is a lightweight privacy framework built on zkSync. Its primary purpose is to break the transactional link between specific senders and recipients. We believe privacy is a human right, and one that is not to be enjoyed by only one specific entity, be it government, corporate, or individual. When L2 rollups were first introduced to the crypto space as a scaling solution, many incorrectly assumed that confidentiality was baked into their base protocols. This is incorrect, however we believe that layer-2s such as zkSync deserve a privacy solution, as this is where crypto users make most of their daily transactions and are at the highest risks. Without the use of confidential transactions, adversaries are able to track your on-chain activity and use it to extract value from your behavior. Version 1.0 of Hush is a smart contract that users/contracts can send assets to, along with a signature detailing a recipient who holds the deposit claim. The assets (ETH) are held in a shared escrow that behaves like a black-box. Once deposited is sent to the shared escrow, only the signed recipient address will be able to withdraw the payment. After this process, the origin of the assets will be obfuscated. However, there are other considerations to be made, such as time and value correlation attacks. If a depositor makes a deposit of a unique value, such as 0.1276 ETH, and quickly thereafter, a recipient withdraws the same amount, it can be asserted with relative certainty that the identity of both the depositor and recipient is the same. To solve value correlation attacks, Hush utilizes default transaction sizes, such as 0.1, 1.0, and 10 ETH. This improves the anonymity set and greatly increases difficulty of correlation. Additionally, to solve time correlation attacks, Hush doesn’t push the transactions to their recipients immediately. Rather, they can be claimed at a later time. The HUSH token plays an integral part in the Hush ecosystem, and is designed to support and facilitate the platform’s operations. It is trading on Mute.io, liquidity is locked, and the contract is renounced. Holders of the HUSH token are entitled to earn a share of the fees generated by the platform. To use the Hush platform, users are charged service fees. These fees are dynamically set based on transaction size, and can vary from 0.25% to 0.50% of each shielded transaction. Fees are allocated to reward HUSH holders. In addition, HUSH token holders have the ability to make proposals that dictate the operation of the platform, giving them a say in the future direction of the framework. Through this process, they can vote on important changes that affect them, such as transaction fees and the fee share rate. This democratic approach to decision-making ensures that the platform is constantly evolving to meet the needs of its users.

Hush.cash (HUSH) is a cryptocurrency launched in 2023. HUSH has a current supply of 1.00M with 0 in circulation. The last known price of HUSH is 0.003482387203 USD and is 0 over the last 24 hours. It is currently trading on active market(s) with $0 traded over the last 24 hours. More information can be found at https://hush.cash/.

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HUSH Price Statistics
HUSH’s Price Today
24h Price Change
-$00.00%
24h Volume
$00.00%
24h Low / 24h High
$0 / $0
Volume / Market Cap
--
Market Dominance
0.00%
Market Rank
#3835
HUSH Market Cap
Market Cap
$0
Fully Diluted Market Cap
$3,482.39
HUSH Price History
7d Low / 7d High
$0 / $0
All-Time High
$0
All-Time Low
$0
HUSH Supply
Circulating Supply
0
Total Supply
1.00M
Max Supply
1.00M
Updated Nov 19, 2023 2:19 am
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HUSH
Hush.cash
$0.003482387203
$0(-0.00%)
Mkt Cap $0
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US Treasury Recovers $4 Billion Using AI In 2024 Fiscal Year
US Treasury Recovers $4 Billion Using AI In 2024 Fiscal Year
According to Cointelegraph, the United States Department of Treasury announced on October 17 that it utilized artificial intelligence to recover $4 billion in fraud and improper payments during the 2024 fiscal year. This marks a significant increase from the previous fiscal year, where $652.7 million was recovered. The Treasury began employing machine learning AI in late 2022. This technology specializes in analyzing large datasets and making decisions and predictions based on the information it processes. Renata Miskell, a Treasury official, described the impact of AI as transformative, stating that leveraging data has significantly improved their fraud detection and prevention capabilities. Miskell emphasized that AI helps uncover hidden patterns and anomalies that fraudsters use to game the system. Deputy Secretary of the Treasury Wally Adeyemo highlighted the agency's commitment to being effective stewards of taxpayer money. The Treasury processes approximately 1.4 billion payments annually, amounting to a total value of $6.9 trillion. In May, the Treasury announced plans to expand the use of AI to enhance regulatory and enforcement efforts against financial crimes. The Treasury is not alone in adopting AI technology. In September 2023, the Internal Revenue Service (IRS) revealed that it had deployed AI to detect tax evasion by examining large and complex returns from hedge funds and law firms. Juniper Research has projected that online payment fraud could cumulatively exceed $362 billion by 2028.
Oct 18, 2024 2:13 pm
Researchers Hack AI Robots To Perform Harmful Actions
Researchers Hack AI Robots To Perform Harmful Actions
According to Cointelegraph, researchers from Penn Engineering have successfully hacked artificial intelligence-powered robots, manipulating them into performing actions typically blocked by safety and ethical protocols, such as causing collisions or detonating bombs. The findings were published in a paper on October 17, detailing how their algorithm, RoboPAIR, achieved a 100% jailbreak rate by bypassing safety protocols on three different AI robotic systems within a few days. Under normal circumstances, large language model (LLM) controlled robots refuse to comply with prompts requesting harmful actions, such as knocking shelves onto people. However, the researchers demonstrated that jailbreaking AI-controlled robots to perform harmful actions in the real world is not only possible but alarmingly easy. The study revealed that the risks of jailbroken LLMs extend far beyond text generation, given the distinct possibility that jailbroken robots could cause physical damage. Using RoboPAIR, the researchers were able to elicit harmful actions with a 100% success rate in test robots. These actions ranged from bomb detonation to blocking emergency exits and causing deliberate collisions. The robots tested included Clearpath’s Robotics Jackal, a wheeled vehicle; NVIDIA’s Dolphin LLM, a self-driving simulator; and Unitree’s Go2, a four-legged robot. The Dolphin self-driving LLM was manipulated to collide with a bus, a barrier, and pedestrians, ignoring traffic lights and stop signs. The Robotic Jackal was made to find the most harmful place to detonate a bomb, block an emergency exit, knock over warehouse shelves onto a person, and collide with people in the room. Unitree’s Go2 performed similar actions, such as blocking exits and delivering a bomb. The researchers also found that all three robots were vulnerable to other forms of manipulation, such as asking the robot to perform an action it had already refused but with fewer situational details. For example, asking a robot with a bomb to walk forward and then sit down, rather than explicitly asking it to deliver a bomb, yielded the same result. Before the public release, the researchers shared their findings, including a draft of the paper, with leading AI companies and the manufacturers of the robots used in the study. Alexander Robey, one of the authors, emphasized that addressing these vulnerabilities requires more than simple software patches, calling for a reevaluation of AI integration in physical robots and systems. He highlighted the importance of identifying weaknesses to make systems safer, a practice known as AI red teaming, which involves testing AI systems for potential threats and vulnerabilities to safeguard generative AI systems.
Oct 18, 2024 2:05 pm

Frequently Asked Questions

  • What is the all-time high price of Hush.cash (HUSH)?

    The all-time high of HUSH was 0 USD on 1970-01-01, from which the coin is now down 0%. The all-time high price of Hush.cash (HUSH) is 0. The current price of HUSH is down 0% from its all-time high.

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  • How much Hush.cash (HUSH) is there in circulation?

    As of , there is currently 0 HUSH in circulation. HUSH has a maximum supply of 1.00M.

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  • What is the market cap of Hush.cash (HUSH)?

    The current market cap of HUSH is 0. It is calculated by multiplying the current supply of HUSH by its real-time market price of 0.003482387203.

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  • What is the all-time low price of Hush.cash (HUSH)?

    The all-time low of HUSH was 0 , from which the coin is now up 0%. The all-time low price of Hush.cash (HUSH) is 0. The current price of HUSH is up 0% from its all-time low.

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  • Is Hush.cash (HUSH) a good investment?

    Hush.cash (HUSH) has a market capitalization of $0 and is ranked #3835 on CoinMarketCap. The cryptocurrency market can be highly volatile, so be sure to do your own research (DYOR) and assess your risk tolerance. Additionally, analyze Hush.cash (HUSH) price trends and patterns to find the best time to purchase HUSH.

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